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Knowledge of ERP/financial systems (e.g., Workday, Adaptive Planning, Oracle, or similar) Working knowledge of Python or R for data automation and analysis Experience with cloud data platforms (e.g
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theoretical results. Proficiency in Python, MATLAB, or Julia for numerical work. Excellent communication skills, ability to work independently and in international collaborations, and willingness to travel
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, including analysis of genomic/metagenomic/transcriptomic data, would be an advantage. Experience with R, Python, Linux/Unix, sequence-analysis tools, or biological databases is an advantage. Good analytical
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.). Proficiency in hard skills: optical thin-film simulation, micro/nano fabrication, optical path construction, data analysis, and programming (MATLAB/Python etc.). Competent in soft skills: independent problem
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, or quantitative biomedical research Strong programming and data-analysis skills in MATLAB and/or Python Demonstrated ability to independently design experiments, troubleshoot complex technical problems, analyze
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or Python is highly encouraged. Salary and Rank Special Instructions Applications received by October 25, 2026 will receive full consideration. However, we will continue accepting applications until
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widely-used open-source Python library for the analysis of molecular dynamics simulations, with over 6,500 academic citations, ~100,000 monthly downloads, and a global community of 200+ contributors
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669/670 (Text Analytics) and RETL 613, with responsibilities focused on both technical and instructional support. Duties will include assisting students with Python programming, data preparation, text
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PhD or equivalent relevant experience in computer science, machine learning, medical imaging, biomedical engineering or a related discipline. You will have strong Python/PyTorch skills, experience with
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priorities, and a genuine interest in supporting scientific research within a team environment. Knowledge of R or Python, experience of high-throughput proteomics and sample-handling automation, or experience