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; survey development and deployment (REDCap); and data cleaning, visualization, and analyses (R and/or Python). Ability to travel to our field site in Eastern Indonesia and work with our Indonesian-based
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to apply. Basic to advanced experience with computational analysis and R/Python. Excellent oral and written communication skills and be able to work effectively with collaborating researchers. Successful
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research, or a related discipline, or an MD degree with demonstrated research experience in computational or quantitative methods. Strong programming skills in languages such as Python, R, or SQL would be
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. Proficiency in programming (e.g., Python, R) and familiarity with common bioinformatics tools and packages. A PhD in developmental biology, cell biology, regenerative medicine, or a related field. A required
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Expertise in machine learning, including building and deploying prediction models Strong data science coding skills in programs and languages such as Python, R, Stata, and SQL Experience with research in
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primates or humans – Theoretical neuroscience, machine learning, or AI • Proficiency in Python, MATLAB, or equivalent data‑analysis frameworks. • A passion for big‑picture questions, open science, and
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experience with large-scale human datasets, machine learning, statistical genetics, causal inference, multi-omics, cardiovascular imaging, programming in Python or R, and scientific writing. Prior experience
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designing machine learning pipelines, building web applications or tools, and creating and maintaining visualization dashboards. Trainees should be comfortable with: · SQL, R, and Python
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related to the microbiome/metabolome. Superb quantitative background, strong coding skills (e.g., Python, R, MATLAB). Strong computer skills, experience with databases and scientific applications, and
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computational background to analyze sequencing, high dimensionality data, and be efficient with bash, python, and/or R. Expertise with genome-wide methylation datasets, next-generation sequencing, related