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R, Python, Tableau, Power BI, Snowflake, and/or other database/analytical software platforms to manipulate and analyze data associated with programmatic issues and concerns, producing insightful
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analysis. Familiarity with bioinformatics software (e.g., R, Python, GSEA, PRISM, CellProfiler) and cloud‑based data platforms. Strong written and oral communication skills; ability to lead interdisciplinary
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). Contribute to sport business and operations analytics projects as needed (e.g., ticketing, fan engagement, and scheduling). Build and maintain data pipelines and models using R, Python, SQL, and cloud
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-, T2-weighted MRI, diffusion-weighted imaging) Programming experience (e.g., MATLAB or Python) Demonstrated trajectory toward applying for an NIH K-award within two years of appointment Special
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Classification Title: AST/ASO/FULL PROF Classification Minimum Requirements: • Ph.D. in computer science or related field • Expertise in AI/ML, deep learning • Expert proficiency in Python, PyTorch
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, statistics, data science, or related disciplines. Preferred Qualifications: Interests in AI-driven drug discovery, deep learning research, and self-motivated. Solid Math/Statistics and coding skills in Python
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: Position 1: Postdoctoral Associate – Software Engineering & Technical Development Proficiency in Python, geospatial libraries, API design (e.g., FastAPI), and cloud/HPC environments. Experience with
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(e.g., Python or R or C++) is essential. Research experience utilizing skills of programming, statistics, and AI are essential. The ideal candidate should demonstrate independent and critical thinking
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(PhD or equivalent) (by the start date Strong methodological training (quantitative, computational) and proficiency in programming languages such as R and Python. Excellent written and verbal
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Qualifications: PhD in Chemistry or Physics Preferred: Strong Python skills Strong computational chemistry and quantum chemistry background Special Instructions to Applicants: For full consideration, applications