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This role independently performs volunteer apheresis procedures and whole blood collections to support St. Jude patient care and research. This role applies advanced technical expertise to recruit
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simulations, virtual screening, quantitative structure activity relationship modeling, and chemical informatics. The applicant must also be comfortable using high performance computing resources; and developing
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position in the area of machine learning and computer simulations. The focus of the PhD project will lie on developing machine learning models for clustering, classification, regression and reinforcement
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academic and employment programs, benefits and activities on the basis of demonstrated ability, performance and merit without regard to personal factors that are irrelevant to the program involved.
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high-performance computing and AI, the Chief Architect will drive innovations in computer vision, graphics, NeRF-based systems, and real-time spatial intelligence. Beyond research, the role emphasizes
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to fulfill. The major criterion for appointment for faculty in the Non-tenure Line (Research) is evidence of high-level performance as a researcher for whose special knowledge a programmatic need exists
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management Background: materials science, mechanical engineering, or a closely related discipline Apply: https://mgician.eu/research/doctoral-candidate-projects/dc6/ DC7: High-Performance Magnesium-Based
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all requirements of the institution, regulatory agencies and adheres to the Blood Donor Center Quality Program. Performs translational/basic research and development activities. Position will work M-F 8
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high-performance computing (HPC), containerization, workflow orchestration (e.g. nextflow), and next-generation file formats (e.g. Zarr). Your work will primarily be conducted in Python. You will also
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international conferences. Required Qualifications* PhD in computational biology, bioinformatics, data science, or a related quantitative field. Proficiency in Python and/or R; experience with high-performance