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Field
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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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, Bioengineering, Computational Biology, Bioinformatics, or a closely related discipline. Demonstrated experience programming in Python or other major programming languages. Proven experience working in Linux
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; Linux or Unix-based computing environments. Creating or maintaining reproducible bioinformatics workflows; Sequence processing, genome assembly, variant analysis, lineage assignment, or phylogenetics
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, fairness, privacy, or explainable AI. Experience with biomedical image processing, radiomics, or digital pathology. Scientific programming on Linux or high-performance computing environments. LICENSES
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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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programming in C (on microcontrollers and embedded Linux); ii. Machine learning on the Edge. Priority will be given to candidates enrolled in a Master Program related to Embedded Systems or related fields
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, Computational Biology, Bioinformatics, or a closely related discipline. Demonstrated experience programming in Python or other major programming languages. Proven experience working in Linux environments
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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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-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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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