Coding: Kmeans Clustering ML, DL technical round: explain overfitting, underfitting, bias variance tradeoff, kmeans clustering, decision tree working, loss functions, evaluation metrics for classification & regression, gradient descent, dropout layer, backpropogation, etc
What is your greatest weakness?
HR: Short term and long term future plans Manager: Principles of different test procedures Director: Inquires about flexible working hours
Please draw a diagram of the monitoring system that you would use for this project.
Point out problems you see in the provided database.
Tell me about your background and how it applies to this position?
What do you see your role being? Can you solve the problem? Do you have experience?
Q: What is your experience with downstream processing? Q: Talk about some of the most difficult situation and difficult people you have dealt with.
Describe and explain what an immune response is.
What is the Haber-Bosch Process
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