PHD Researcher Interview Questions and Answers

Type I error is rejecting a true null hypothesis, while Type II error is failing to reject a false null hypothesis.

• Type I error is also known as a false positive.

• Type II error is also known as a false negative.

• Type I error occurs when the researcher concludes that there is a significant effect when there is not.

• Type II error occurs when the researcher concludes that there is no significant effect when there actually is.

• The probability of Type I error is denoted by alpha, whil...read more

RT-PCR is a technique used to detect and measure RNA levels in a sample. RT stands for Reverse Transcription.

• RT-PCR stands for Reverse Transcription Polymerase Chain Reaction.

• It is a molecular biology technique used to amplify and detect RNA molecules.

• RT-PCR involves two steps: reverse transcription and polymerase chain reaction.

• Reverse transcription converts RNA into complementary DNA (cDNA).

• Polymerase chain reaction amplifies the cDNA for detection and quantification.

• RT-PCR...read more

Gene expression study involves analyzing the activity of genes to understand their function and regulation.

• Collect tissue or cell samples

• Extract RNA from the samples

• Convert RNA to complementary DNA (cDNA)

• Perform quantitative PCR or RNA sequencing

• Analyze the data to determine gene expression levels

• Validate the results using techniques like Western blotting or immunohistochemistry

My research interest is in the field of artificial intelligence and machine learning.

• Developing algorithms for natural language processing

• Exploring deep learning techniques for image and speech recognition

• Applying machine learning to healthcare data for predictive modeling

• Investigating ethical considerations in AI development and deployment

CT value is the number of cycles required for the fluorescent signal to cross the threshold.

• CT value is used in PCR to determine the presence or absence of a specific DNA sequence.

• It is also used to quantify the amount of DNA in a sample.

• A lower CT value indicates a higher amount of target DNA in the sample.

• CT value can be affected by factors such as the quality of the sample and the efficiency of the PCR reaction.

Regularization is a technique used to prevent overfitting in machine learning models.

• Regularization adds a penalty term to the loss function to discourage complex models.

• It helps to reduce the variance of the model and improve its generalization performance.

• L1 and L2 regularization are commonly used techniques.

• L1 regularization adds the absolute value of the coefficients to the loss function.

• L2 regularization adds the square of the coefficients to the loss function.

• The streng...read more