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pests, or high-throughput phenotyping Solid background in mathematics and scientific programming (R, Python, etc.) along with effective logical reasoning skills Experience with high-performance computing
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, Skills in Python, R, GEE, or other relevant programming environments in the satellite remote sensing field, Experience working with high-resolution imagery and aerial photos, Skills in academic writing and
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design, data analysis, and programming (e.g., SPM, MATLAB, Python, R, etc.) Strong scientific writing skills Excellent organizational and communication skills Willingness to work in an interdisciplinary
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, spectral interpretation, chemometric model development (preferably using R and/or Python). Ability to work with large spectral datasets, including developing and managing spectral libraries or databases, is
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alternatives to traditional chemical analyses, spectral data processing and multivariate analysis, spectral interpretation, chemometric model development (preferably using R and/or Python). Ability to work with
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health record (EHR) integration Community partnership–driven research Responsibilities: Conduct statistical and computational analyses using R, Python, SAS, and/or SQL Support cloud-based analytics in
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Postdoctoral Positions for Computational Genomics, Cancer Genetics, and Translational Cancer Biology
(Python, R, or equivalent). Experience with machine learning, multi-omics data analysis, cancer genomics, immunogenomics, or systems biology of transcriptional regulation is highly desirable. Position 2
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cytometry leading to publication in peer-reviewed journals is recommended. Preferred skills include experience with mouse models, bioinformatics skills (R, Python), background in T cell immunology, and a
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will lead the programming of R/Python packages for the analysis as well as adapt existing and develop new research methodologies and training materials. You will report research findings in the form
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Qualifications – Experience, Education, Knowledge & Skills Data Science Experience: Proficiency in using R or Python for phylogenetic comparative methods and high-performance computing (HPC) environments