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Computational Interview Questions
514 computational interview questions shared by candidates
What questions did you anticipate us to ask you that we have not ask you yet?
Technical questions.
Some molecular biology and genetics technics
Nenne ein Projekt, in das du dich thematisch sehr tief einarbeiten musstest, welche Quellen hast du genutzt, welche Quellen waren am nützlichsten, was war des Resultat des Projekts und was hast du daraus gelernt?
What are your future goals? What you want to gain out of this internship?
Primarily about my past experiences relating the roles of the job and how I handled situations. Couple questions on my opinion on certain technologies and abilities.
How did you approach one of the challenging question(HW)?
Why you want to work in BD? What was your latest chalenge?
Q: Can you walk me through your education and how it has prepared you for your current role? Q: How has your work experience contributed to your skills in AI and machine learning? Q: Can you describe one of your most impactful projects and the challenges you faced? Q: In your project, how do you deal with data issues such as missing or noisy data? Q: What metrics do you typically use to evaluate the performance of your models? Q: How do you validate that a newly trained model is an improvement over the previous one? Q: How do you approach monitoring and maintaining models in production? Q: How do you ensure that project results are effectively communicated to stakeholders? Q: What is your preferred working style, and how do you adapt to different team environments? Q: What excites you most about joining our company and working on AI projects here?
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