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Field
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related field Experience with genome assembly and/or large genomic datasets Strong computational skills (Unix/Linux, scripting in R/Python) Publication record in peer-reviewed journals Other Position
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, post-GWAS analyses, and genetic imputation. Experience conducting analyses in the R statistical package. Programming experience on a Unix or Linux platform. Experience in conducting statistical genetic
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experience: Python, MATLAB, SPSS, Shell. Experience in working with Linux workstation. Excellent organizational and time-management skills and ability to self-direct work. Ability to work as a team member
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candidates are expected to be skillful in some, but not necessarily all, of the following areas: experience with software languages and tools such as Python, R, Linux, GitHub, Globus, high-performance
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interest in psychopathology, a strong computational background, familiarity with the Unix/Linux environment, and experience with scientific writing for publications or grant applications. Candidates
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languages (e.g., Python, R, SQL), in Linux environment, and HighPerformance Computing infrastructures, in handling workflow/workload managers and containers; High proficiency level in Python and relevant deep
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of high-quality scientific publications, experience working with real-world health data is a plus Proficiency in Python and experience working in Linux-based HPC environments or cloud computing platforms
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Proficiency in Python and experience working in Linux-based HPC environments or cloud computing platforms Proven experience with deep learning frameworks such as PyTorch, and familiarity with multimodal data
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, modern C++, and Linux-based development environments. Preferred Qualifications: Experience with point cloud processing and registration using libraries such Open3D or equivalent. Experience with LiDAR
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; survival or hazard models; gradient-boosted decision trees or related predictive approaches; interpretable feature-importance methods; Git/GitHub; Linux or command-line workflows; preregistered analyses; and