In a research scientist interview, you'll be expected to show that you have the necessary technical knowledge and expertise pertaining to the specific position you're applying for. Some of the common topics include basic statistical methods, machine learning concepts, and case study analysis. Also, the interviewer will most likely assess your communication and interpersonal skills, which are essential for effective teamwork and funding acquisition.
Q: When conducting a literature review where do you usually go for sources? Q: Describe your current research? Q: Have you ever once cooked or baked before? (this felt passive-aggressive) Q: If you need to extract arabinoxylans how would you do it? Q: How would you validate that an HPLC is producing accurate data? Q: Explain what a hydrocolloid is? General behavioral questions and why you want to work for Mondelēz.
My interview was heavily technically oriented (based on the 1-hr presentation)
Difference between list, set and tuple in python (also memory wise)
What architecture could you use to aggregate feature maps from a pretrained CNN-backbone to a scalar regression?
You are performing a regression task with targets ranging from 0.5 to 5000. What final activation function should you use? Why may ReLU not work?
Tell me about yourself. Tell me a situation where you develop the method which was very successful.
What is your 5-year plan? What can you contribute to the team?
PLL, RX link budget, OTA design, ADC/DAC
How to swap two numbers without using an auxiliary variable?
Why did you choose this programing language for this project?
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