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Field
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measurements, awareness of noise, efficiency, and timing trade-offs in low-light imaging. Applicants should have competence in data acquisition/analysis and scripting for instrument control (e.g., Python/Matlab
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datasets. Proficiency in R and/or Python, and familiarity with tools such as Seurat, Scanpy, DESeq2, edgeR, Monocle, or similar frameworks. Experience working with large-scale sequencing datasets and high
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. Doctorate in Computer Science or Electrical Engineering, or expecting to receive it within six months. Experience with one or more general purpose programming languages such as C/C++, Java, or Python
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, Biostatistics, or related medical/pharmaceutical fields. Proficiency in statistical software such as R, SAS, STATA, or Python. Experience analyzing large-scale databases (e.g., NHIRD, Biobank) is highly preferred
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, biostatistics, computer science or a related quantitative field Additional Qualifications: · Advanced programming and analytical skills (including R, Python, and SAS or Stata) · Experience with Medicare claims
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) data sets in R or Python as well as GIS software such as QGIS or ArcGIS Pro. Knowledge of US forest ecosystems and background in analyzing forest structure, stand dynamics, biodiversity, and/or other
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, economics, or a closely related field. Excellent knowledge of computational linguistic tools and machine learning techniques. Experience with data analysis with Python and STATA. Prior experience in
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, Geoscience, Soil Science, Physics, or related fields). Preferred skills: Commitment to contributing to outreach activities and research dissemination. Experience in computer programming (R+, Matlab, Python
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or more scientific programming languages, e.g. R, Python, C++, etc. Additional Qualifications Preferred Qualifications Knowledge of HIV epidemiology, transmission dynamics, and programmes in eastern and
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discovery. Familiarity with generative chemistry platforms. Experience with pharmacophore modelling. Experience with molecular dynamics simulations. Strong scripting skills (Python, Bash). Experience with HPC