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groups/populations. Preferred Qualifications PREFERRED QUALIFICATIONS: 1. Demonstrated experience with Linux/Unix environment, Python, and PyTorch. 2. Demonstrated experience with programmable network
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pipelines and data analysis workflows in Linux or high-performance computing environments Knowledge of statistical analysis methods, data integration approaches, and reproducible research practices
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/BO; Docker/Linux/Git familiarity. Track record in automation or autonomous labs; good communication and collaboration skills. We regret to inform that only shortlisted candidates will be notified
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can take up the position. Good oral and written presentation skills in English equivalent level C1 Experience in analyzing large-scale next-generation sequencing datasets in Linux/HPC environments using
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science are preferred. Proficiency in technical skills, including but not limited to Linux, Python, and PyTorch. Excellent leadership, communication, and organizational skills. Experience leading research
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-standard Linux-based computers for AI. Experience of authoring good quality academic publications. Manage undergraduate research assistants (if appropriate). Liaise with customers and collaborators in A*STAR
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cloud platforms for compute and storage. Version Control & CI/CD: Git, automated testing, deployment workflows. Experience with Linux systems, HPC, and distributed computing environments. Knowledge
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experience in working with Linux HPCs · Experience in applying machine learning methods to genomics data analysis · Experience in navigating public databases and genomics data repositories
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degree in physical sciences, biochemistry, or computer science is required at the start of the position (we accept ABD applicants). Applicants with prior experiences with Linux command line, Python
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, SPM, etc.). Proficiency with MATLAB and UNIX/Linux programming is preferred. Strong preference will be given to applicants with prior experience with acquiring and analyzing EEG and/or structural and