The only "classic" interview question I got was, "how would you handle a coworker who you knew was wrong about something important?" Other than that, they were interested in exploring the extent of my skill set and what kind of person I am – they wanted to make sure I would be a good fit for the team.
When required, how do you convince people in other people to do experiments and generate data for you?
Around my previous experience basically my CV and ML related questions.
Previous experience with follow up questions
Como você se vê em 5 anos? Quais seus pontos positivos? Quais seus pontos negativos?
2- deep learning, cnn, rnn and regular ML questions, regularization, SVM, bias variance trade off, batch normalization, PCA, PLS
Describe a situation in which you did not meet your immediate managers expectations.
where do you see yourself in 5 years time
Past experience with product developemnt
Describing and example of an assay optimization and how I set the essential criteria of validation
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