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related area (mandatory). Ability to independently conduct liquid chromatography-mass spectrometry (LC-MS)-based peptide analysis/proteomics, including proficiency in related data processing software
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design of study, selecting the best data for execution, performing and reporting analyses. This requires that you are able to work independently and have a desire to seek out and test the most suitable
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integration of risk assessment with sustainability metrics. Proficiency in software tools like: QSAR Toolbox, Chesar, EPI Suite. Experience in working with confidential data in industry-collaborative settings
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, scipy, scikit-learn, pytorch, pytorch geometric, etc.). Proficiency in statistics and graph machine learning, including the ability to build and deploy models, and evaluate their performance. Software
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interest in pursuing applied research in computer vision and deep learning with a focus on wind energy application. Proven experience with computer vision tool/software development using Python and/or Matlab