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Field
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modelling of high-dimensional datasets. Experience in basic computational methods (e.g. R, Python, and/or other programming languages) Experience in developing computational analysis pipelines Experience with
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data analysis using Python, MATLAB, ImageJ/FIJI, DeepLabCut, or related tools. Maintains accurate records of experimentation, animal procedures, data analysis, and research progress. Analyzes, organizes
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analysis of multi-omics datasets. Prior experience with microbiology techniques. Familiarity with mouse models and proper mouse handling. Skills in at least one programming language (R or Python
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both R and/or Python. Ability to collaborate and clearly communicate with stakeholders, state and federal agency biologists, university scientists, and non-governmental conservation organizations
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field. Preferred Qualifications: Demonstrated experience conducting quantum chemistry calculations and reaction dynamics simulations. Demonstrated experience developing Python-based software for direct
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Demonstrated working experience with cellular and molecular biology techniques Demonstrated coding experience in MATLAB or Python (or similar languages) Demonstrated experience with advanced microscopy (e.g
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journal. Candidate must hold a PhD and/or M.D, by August 2026, at the latest. Certifications/Licenses Required Knowledge, Skills, and Abilities Proficiency in statistical programming (e.g., R, Python
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journal. Candidate must hold a PhD and/or M.D, by August 2026, at the latest. Certifications/Licenses Required Knowledge, Skills, and Abilities Proficiency in statistical programming (e.g., R, Python
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. • Familiarity with vibration data analysis techniques. • Experience with Monte Carlo simulation, uncertainty quantification, or sensitivity analysis. • Programming skills in Python, MATLAB, R, or similar
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bonding, defects, catalysis, batteries, solid-state chemistry, molecular systems, or related materials classes. Strong Python skills and familiarity with LLM APIs, agent frameworks , PyTorch, and the Python