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related to modeling and simulation of biological systems, 3) very good IT skills, in particular the ability to program in Python, 4) very good knowledge of machine learning methods, neural networks, and
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proteins Do ligand docking and pocket design Design and filter in silico libraries at scale Write strong Python and are comfortable with structural-biology tooling Can own a design campaign end to end, and
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collection procedures. Data Processing Execute and monitor established data workflows, including running existing Python, R, SQL, and other automated scripts that support recurring data projects. Process
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Posting Summary Logo Posting Number RTF00204PO26 USC Market Title Post Doctoral Fellow Link to USC Market Title https://uscjobs.sc.edu/titles/156387 Business Title (Internal Title) Post Doctoral
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Excel. Intermediate level R, Python, and SQL. Familiarity with SPSS, STATA, Dedoose, or similar software. Previous experience in data visualization with business intelligence software such as Power BI
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Professional 1: Prior experience in rodent behavioral research lab or similar; Knowledge of neuroanatomy and/or animal behavior; Experience with coding, especially in Python or Matlab Essential Qualifications
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intellectually stimulating environment to enable high quality work in strategic directions that are of significant impact to industry, science and technology. For more details, please view https://www.ntu.edu.sg
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Candidates with experience in flow cytometry, single-cell analysis, quantitative imaging, and routine use of R or Python for data analysis and visualization will be especially competitive. The ideal candidate
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analysis. Excellent programming skills in Python and experience with deep-learning frameworks (preferably PyTorch). Experience developing, training, validating, and optimising machine-learning models
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, although holding a PhD in other areas, have a scientific curriculum in one of these areas may also apply. 3. Candidates must have knowledge of markup languages (XML/TEI); programming languages (Python/R