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Field
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area. Required Experience Analysis of particle physics data sets Expert knowledge of C++ Expert knowledge of Python Effective communication skills, both oral and written. Additional Qualifications
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in one or more of: Python, C++, Fortran, Julia. Hands-on experience building and training AI models with frameworks such as TensorFlow or PyTorch. Ability to succeed in an interdisciplinary team and
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• Proficiency in at least one statistical software (e.g., R, Stata, SPSS, Python) • Expertise in quantitative analysis, with preferred skills in o Quasi-experimental evaluation techniques (e.g., Difference-in
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visualization in R and/or Python. Ability to work closely with experimentalists to ensure analyses complement experimental goals and enhance data interpretation. Advanced Computational Skills: Proficiency in
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or process optimization; and Experience in data collection, analysis, and processing. Assets: Experience using Python or another scientific programming language (e.g., MATLAB, R, Julia); Experience with
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. Significant programming experience. Preferred: Python or Matlab; IDL, C/C++ or other languages also acceptable. Language requirements English Information on language requirements and self-assessment tests
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. Experience in writing clear and concise code in Python/C++ to contribute to the team’s codebase. Prior experience in human factors research would be considered an asset. Language requirements English
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strong asset. Experience independently writing and publishing scientific manuscripts. Strong experience in programming (particularly in python/R). Experience with analysis of genomics data (particularly in
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, AMBER/OpenMM, coding skills in Python) Supervisory Responsibilities No Required operation of university owned vehicles No Does this position require direct animal or patient contact? No Physical Demands
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, polygenic scores). Proficiency in statistical methods. Basic programming skills (e.g., UNIX/Linux, Python, R). Experience leading/managing a research project. Excellent scientific writing skills. Language