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Research Scientist Interview Questions

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Basic Chemistry and analytical techniques

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Questions mainly based on past experience and projects or vision of company

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Basic data structuctures and OS concepts.

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Is it possible to do the PCA operation with Neural network? How does an Autoencoder work? What kind of loss functions are used?

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About the company

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Several queries were asked by R&D head like 1.What is western blotting and SDS PAGE?2:What are the chromatographic techniques used in purification of recombinant proteins?

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All questions in the on-site interview were based on possible improvement to the models that I had built. and were from these topics. 1. Dimensionality reduction (followed by using it) 2. Train multiple models on the dataset judiciously 3. Selecting the ideal metric for the dataset 4. From scratch ensemble learning on the dataset with pre-prepared models 5. Architectural questions and discussions on taxi service 6. How will you use LSTM for analysing time-series data 7. Time-series analysis to find outliers and trends

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business case study

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What are the types of random variables

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How do you meet allotted time line of a project with desired quality of a product.

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