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Field
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of education materials). Required Qualifications: PhD in Biostatistics, Computer Science, Bioinformatics, Statistics, Mathematics or related field. Preferred: Proficient in R/Python. Prior experience in genetic
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/Python/LabVIEW for data analysis and software experimental control. Also required are strong written and oral communications skills, interpersonal skills for collaborative science and mentorship, problem
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engineering pipelines. Implement models in Python using frameworks such as PyTorch, TensorFlow. Perform statistical analyses and model benchmarking against existing methods. Collaborate with wet-lab scientists
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Python programming skills are required, and prior experience with developing open-source software or databases will be considered a plus. Candidates should apply at: https://puwebp.princeton.edu/AcadHire
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. Basic proficiency in using Python and/or command line interface (CLI). Basic understanding of raytracing and optical design. Experience with SharePoint, SolidWorks PDM vault, GitHub. Required Documents
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advanced analytical skills including statistical programming in Python, Stata, R, and/or SAS • Excellent communication and presentation skills • An ability to work both independently and in teams Benefits
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the data from HEP experiments is strongly required Programming expertise in Python and either PyTorch or TensorFlow is required Experience using High-Performance Computers (HPCs) is preferred Ability
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Python and machine learning frameworks (e.g., PyTorch, Jax, scikit-learn) applied to genomic/related datasets. Experience with sequence modeling architectures and interpretable AI methods (SHAP, Integrated
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data analysis skills, including experience with R, Python, MATLAB • Excellent written and verbal communication skills • Strong organizational and interpersonal skills and ability to work collaboratively
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team and train others Proficiency with computer programming (e.g., MATLAB, Python, R, etc.) Desirable Qualifications: Experience using preprocessing and postprocessing pipelines for resting state