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Field
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modern computing environments, including Python, Linux, and agentic workflows Strong analytical and writing skills as demonstrated by a record of publication in peer-reviewed journals. Experience working
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technical skills • Excellent spoken and written communications • Proficiency in MATLAB/Python and UNIX/Linux environments • Strong organizational skills Preferred: • Prior experience in vision research • fMRI
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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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, representation learning) Spatiotemporal modeling or geospatial/temporal data analysis Medium-to-Large-scale foundation models pretraining/fine-tuning paradigms Strong programming skills in Python and experience
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vision and novel applications of machine learning. Advanced knowledge of R or Python is required. Intermediate knowledge in C/C++ and/or at least one SQL dialect is preferred. Apply online at https
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. or equivalent degree in Medical Physics, Physics, Biomedical Engineering, Computer Science, Applied Mathematics, or a related quantitative discipline. Strong programming skills in C++, Python, MATLAB, or similar
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in R or Python Candidates that have successfully obtained competitive, extramural funding during their doctoral studies are preferred. Knowledge, Skills and Abilities: Excellent written and verbal
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experience, preferably in Python or R, and experience in the Linux environment Solid publication record in peer-reviewed journals. Proficient in verbal and written English. Excellent teamwork
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on oral health. Preferred Qualifications: Experience analyzing oral microbiome datasets (16S, shotgun metagenomics, or metatranscriptomics). Advanced programming and data science skills in R, Python
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college or university in statistics, biostatistics, computer science or related field Experience in causal inference Minimum of 2 years’ experience in statistical software R, Python or equivalent Preferred