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University College London
5.0
based on 1 Review
About University College London
Founded in--
India Employee Count--
Global Employee Count--
HeadquartersLondon, United Kingdom
Office Locations
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Websiteucl.ac.uk
Primary Industry
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University College London Ratings
based on 1 reviews
Overall Rating
5.0/5
How AmbitionBox ratings work?
5
1
4
0
3
0
2
0
1
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Category Ratings
5.0
Company culture
5.0
Job security
5.0
Skill development
5.0
Promotions
5.0
Work satisfaction
4.0
Salary
4.0
Work-life balance
University College London is rated 5.0 out of 5 stars on AmbitionBox, based on 1 company reviews. This rating reflects a generally positive employee experience, indicating satisfaction with the company’s work culture, benefits, and career growth opportunities. AmbitionBox gathers authentic employee reviews and ratings, making it a trusted platform for job seekers and employees in India.
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Compare University College London with Similar Companies
Change Company | Change Company | Change Company | ||
|---|---|---|---|---|
Overall Rating | 5.0/5 based on 1 reviews | 3.6/5 based on 1.3k reviews | 3.4/5 based on 3.3k reviews | 3.9/5 based on 1.4k reviews |
Highly Rated for | Skill development Job security Company culture | No highly rated category | No highly rated category | Skill development Work-life balance Salary |
Critically Rated for | No critically rated category | Promotions Salary Work satisfaction | Work-life balance Promotions Job security | No critically rated category |
Primary Work Policy | - | Hybrid 51% employees reported | Work from office 87% employees reported | Work from office 96% employees reported |
Rating by Women Employees | - no rating available | 3.5 Good rated by 422 women | 3.5 Good rated by 916 women | 4.0 Good rated by 771 women |
Rating by Men Employees | - no rating available | 3.6 Good rated by 788 men | 3.4 Average rated by 2.2k men | 3.9 Good rated by 572 men |
Job security | 5.0 Excellent | 3.6 Good | 3.1 Average | 3.7 Good |
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University College London Salaries
University College London salaries have received with an average score of 4.0 out of 5 by 1 employees.
Post Doctoral Fellow
(2 salaries)
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₹15.3 L/yr - ₹19.5 L/yr
Post Doctoral Research Fellow
(2 salaries)
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₹36.1 L/yr - ₹46.2 L/yr
Sales Executive
(1 salaries)
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₹2.5 L/yr - ₹3.2 L/yr
Store & Dispatch Executive
(1 salaries)
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₹3.2 L/yr - ₹4 L/yr
Master Student
(1 salaries)
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₹16.2 L/yr - ₹20.7 L/yr
Senior Analyst
(1 salaries)
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₹27 L/yr - ₹34.5 L/yr
Safety Officer
(1 salaries)
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₹2.7 L/yr - ₹3.5 L/yr
Research Fellow
(1 salaries)
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₹22.5 L/yr - ₹28.8 L/yr
Research Associate
(1 salaries)
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₹22.5 L/yr - ₹28.8 L/yr
Research Assistant
(1 salaries)
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₹9 L/yr - ₹11.5 L/yr
University College London News
This AI Paper from MIT and UCL Introduces a Diagrammatic Approach for GPU-Aware Deep Learning Optimization
- Deep learning models struggle with memory limitations and data transfer inefficiencies in GPU architectures.
- Researchers from University College London and MIT introduce a diagrammatic approach to optimize deep learning computations.
- The proposed methodology utilizes a structured framework to minimize data movement and maximize computational efficiency.
- The research demonstrates the effectiveness of diagram-based optimization in improving memory efficiency and computational throughput in deep learning.
Marktechpost | 10 Mar, 2025
Revolutionary AI Identifies Hidden Brain Abnormalities in Epileptic Children
- A groundbreaking advancement in neurology has been achieved with the introduction of the AI-driven tool MELD Graph by scientists at King’s College London and University College London (UCL).
- MELD Graph demonstrates remarkable accuracy in detecting focal cortical dysplasia (FCD), a major cause of epilepsy, surpassing traditional radiology methods.
- The innovation is particularly significant for the estimated 30,000 UK patients and around 4 million global individuals living with epilepsy linked to FCD.
- Improvements in detection are crucial, as FCD is a common structural epilepsy cause often missed by human radiologists, leading to delayed treatment and unnecessary seizures.
- MELD Graph, using advanced AI algorithms, can identify elusive brain abnormalities on MRI scans, enhancing diagnostic accuracy.
- A recent study published in JAMA Neurology showcases MELD Graph's 64% detection rate for epilepsy-related brain abnormalities, potentially revolutionizing treatment processes.
- With a diverse dataset of 1,185 participants and advanced machine learning, MELD Graph aids clinicians in promptly identifying subtle brain abnormalities.
- The AI tool reduces diagnosis times significantly, enabling quicker surgical interventions and improved patient outcomes by streamlining treatment processes.
- MELD Graph, although not yet clinically available, is offered as open-source software to promote global use and enhance diagnostic accuracy in epilepsy.
- Through global collaboration and innovative technology like MELD Graph, the aim is to improve treatment options and diagnostic accuracy for individuals with epilepsy.
Bioengineer | 24 Feb, 2025
Home-Based Intervention Shows Promise in Reducing Emergency Hospital Admissions Among Older Adults
- A new service aimed at assisting older adults with the onset of frailty shows promise in reducing emergency hospital admissions, according to a clinical trial conducted by researchers at University College London.
- The intervention involved six tailored home visits by trained support workers, resulting in a significant 35% decrease in unplanned hospital visits among participants with mild frailty.
- The study, supported by the National Institute for Health and Care Research (NIHR), was published in The Lancet Healthy Longevity journal, emphasizing personalized care for frail elderly individuals to improve health outcomes.
- Participants receiving the personalized service reported enhanced psychological well-being, indicating the importance of holistic health approaches for older populations.
- While successful in reducing hospital admissions and improving well-being, the intervention did not significantly increase participants' levels of independence in self-care, prompting further research into frailty management.
- The HomeHealth intervention could potentially revolutionize care for older adults by addressing critical factors such as nutrition, physical strength, and social engagement, contributing to long-term healthcare cost reduction.
- Backed by the NIHR Health Technology Assessment Programme, the program has the potential to transform elderly care by emphasizing preventive measures and personalized support.
- With future funding and resources, researchers aim to expand the HomeHealth intervention nationwide, ushering in a new era of healthcare focused on individualized care and preventative strategies for the aging population.
- By investing in preventive healthcare, substantial savings throughout the healthcare system can be realized, shaping future health policies and addressing challenges faced by the elderly population.
- Collaborating organizations like Age UK have played a crucial role in implementing the trial, demonstrating the value of community partnerships in addressing health disparities among older adults.
- In conclusion, the study not only shows promise in enhancing health outcomes for frail older adults but also serves as a model for future healthcare initiatives prioritizing prevention and tailored care for the aging population.
Bioengineer | 24 Feb, 2025
New theory unites Einstein’s theory of relativity with quantum mechanics
- Researchers at University College London (UCL) have introduced a groundbreaking theory that challenges conventional approaches to this problem. Quantum gravity seeks to bridge the gap between the microscopic and macroscopic realm. The latest proposal suggests a new perspective - one where classical gravity interacts with quantum systems in ways previously unexplored. Instead of forcing gravity into a quantum framework, researchers should explore a new perspective. UCL researchers propose a “postquantum theory of classical gravity” that reexamines the fundamental relationship between quantum mechanics and general relativity. While the focus is on reconciling quantum mechanics and general relativity, its implications extend far beyond the realm of gravity.
- Quantum mechanics explains subatomic behavior, while general relativity explains how gravity governs the cosmos. Attempts to merge these theories have repeatedly faced obstacles. The core tenet of UCL’s theory is that spacetime remains classical, not subject to the constraints of quantum theory. Instead, quantum theory is tweaked to account for intrinsic unpredictability mediated by spacetime. Spacetime experiences random and violent fluctuations that exceed the expectations set by quantum theory.
- To put their theory to the test, the researchers propose a groundbreaking experiment aimed at detecting fluctuations in mass over time. The experiment, which has far-reaching implications for our understanding of gravity and quantum mechanics, is not just theoretical but practical. It serves as a critical juncture in the ongoing debate between competing theories of quantum gravity.
- The UCL research group has spent the past five years meticulously developing and examining their theory. Their journey has been marked by relentless exploration of the fundamental nature of gravity and the cosmos itself, probing the boundaries of our knowledge and challenging preconceived notions. The postquantum theory offers a unique perspective, suggesting that the fundamental breakdown in predictability inherent to spacetime allows for information to be destroyed, solving long-standing paradoxes.
- Another experimental proposal aims to verify the quantum nature of spacetime through a phenomenon called “gravitationally mediated entanglement.” These experiments, though challenging, hold immense promise in advancing our understanding of the fundamental laws of nature.
- The future of physics has never looked more intriguing, as researchers at UCL propose a postquantum theory of classical gravity that aims to unify two of the most fundamental and successful theories in modern physics: quantum mechanics and Einstein’s theory of relativity.
- The implications of this theory could reshape our understanding of the universe, offering a fresh path toward reconciling two of physics’ most successful yet conflicting models. Experiments to test the nature of spacetime will take a large-scale effort, but they’re of huge importance from the perspective of understanding the fundamental laws of nature.
- Professor Oppenheim’s journey to this groundbreaking theory was motivated by his attempt to unravel the mysteries of the black hole information paradox. According to standard quantum theory, information cannot be destroyed. Therefore, an object entering a black hole should somehow radiate information back out.
- The prediction of the semiclassical Einstein equation is depicted in the right panel, compared with what we expect to occur based on the statistical interpretation of the density matrix in the left panel. This postulate, which has long perplexed physicists, posits that measurements collapse quantum superpositions into definite states. In the new theory, quantum superpositions naturally localize through their interaction with classical spacetime, obviating the need for this postulate.
- At the heart of this theory lies a delicate interplay between quantum particles, such as atoms, and the fluctuations in classical spacetime. These fluctuations, if the theory holds, must occur on a scale yet to be detected but should impact quantum particles’ behavior.
- Quantum theory tells us that particles obey Heisenberg’s uncertainty principle, and we can never know their position or velocity at the same time. In contrast, we say that a system behaves classically if it has definite underlying properties. Spacetime is just a mathematical object consisting of the three dimensions of space and time considered as a fourth dimension.
Brighter Side of News | 2 Feb, 2025
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University College London FAQs
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University College London is headquartered in London.
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