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Field
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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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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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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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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
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a Linux environment. 3) Experience in one or more programming languages such as Python, Perl, C, or Fortran. 4) Experience in one or more molecular dynamics simulation software such as CHARMM, OpenMM