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Field
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characterization methods - Attosecond/X-ray beamlines, high vacuum systems, cryogenics, compressed gas handling - Quantum materials/ultrafast dynamics of materials - Laboratory control coding (python preferred
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expertise developing, validating and deploying advanced statistical and machine learning models using Python, R, or similar programming languages in a research environment. Experience working with melanoma
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processing, or simulation (Python, MATLAB) Experience mentoring junior researchers Salary and Rank Special Instructions Applications received by October 1, 2026 will receive full consideration. However, we
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, game-theoretic analysis, network problems, decision analysis, or behavioral economics Proficiency in a scientific computing or statistical programming languages (e.g., Python, R, Julia, C++, or MATLAB
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, exomes). Demonstrated experience as an expert level user of HPC infrastructure / Linux systems. Demonstrated experience implementing key R and / or Python packages. Track record of publications
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for CLIA laboratory, including SOP use, assay controls, stability assessment, and discrepancy review. Gain experience analyzing assay performance metrics using tools such as R, Python, or laboratory data
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experience may include tools and languages such as Python, MATLAB, R, Java, and optimisation packages or solvers such as Gurobi, CPLEX, Pyomo or equivalent platforms. Experience with modelling or simulation
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statistical/computational analysis (e.g. R, Python, ELAN); Strong written and oral communication skills; Ability to work independently and collaboratively across disciplines. We regret to inform that only
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scientific programming using Python or similar languages, or the demonstrated ability to rapidly develop coding capability a strong publication record relative to career stage in relevant research fields
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that is reflected in applicants' publication record. Skills and Experience: Programming in Python (must), Image processing (desirable). Basics of Si Microfabrication and familiarity with lithography