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Pivot and Power BI, alongside working knowledge of SQL, Python or DAX. Proven project management experience managing concurrent initiatives, re-engineering complex systems and processes, backed by
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Programming experience in R, Python, and Linux Public genomic resources such as GTEx, ENCODE, UK Biobank, and the 1000 Genomes Project Experience with scientific writing, manuscript preparation, and NIH grant
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, such as SPSS, Stata, SAS, Python, or comparable platforms, is also desirable. Experience with interdisciplinary teaching, research, or programming involving Criminal Justice and related fields such as
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400-level classes. Working knowledge of Excel, Python, and/or R are beneficial. Attention to detail and detailed recordkeeping are highly valued. BACKGROUND CHECKS/CLEARANCES Employment with
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Science or a related field Strong organisational skills and attention to detail Experience with statistical programming (Python, MATLAB or R) is preferred Experience working with neuroimaging data is
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technical field OR a combination of education and relevant working experience to equal at least four years Strong programming skills in Python. Familiarity with machine learning, deep learning, and
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polarization states. • Data Analysis & ML: Develop Python/MATLAB machine learning algorithms to map photocurrents to full Stokes parameters, targeting a reconstruction error of \(<1\%\). Required
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datasets High proficiency in data analysis and statistical programming using R and/or Python. Experience working in high-performance computing (HPC) environments for large-scale analyses and with workflow
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analysis of high‑speed imaging data; (b) proficiency in MATLAB, Python or other related software; and (c) a good command of written and spoken English. Applicants are invited to contact Dr Wang Fangyi
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Research experience in developing machine learning and/or deep learning methods. Essential Application/interview Programming experience in Python and use of relevant machine learning / deep learning