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required to make data driven discoveries that increase our scientific knowledge and improve the quality of life. We architect ecosystems of large-scale commons of research data, computing resources
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Informatics Overview New Jersey’s academic health center, Rutgers Biomedical and Health Sciences (RBHS) takes an integrated approach to educating students, providing clinical care, and conducting research, all
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dissemination of findings, and mentorship of students and research personnel. This position provides expertise in biomechanics, motion analysis, computational modeling, and statistical methods while contributing
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, and computer dose algorithms. Knowledge of treatment planning computers, both software and hardware, linear accelerators, including MLC’s, and imaging devices. Knowledge of treatment planning
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, and mentorship of students and research personnel. This position provides expertise in biomechanics, motion analysis, computational modeling, and statistical methods while contributing
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
Posting Information Posting Details Department Computer Science - 318400 Posting Open Date 06/16/2026 Application Deadline 09/14/2026 Open Until Filled No Position Type Postdoctoral Scholar Position
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Scheduled Hours 40 Position Summary Our laboratory aims to develop innovative computational tools/methods and utilize advanced single-cell (epi)genomic techniques to gain a comprehensive
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computational analysis of ongoing research projects focusing on the function of transcription factor (TF) networks in mediating cell fate transitions at the early stages of oncogenic transformation as
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, TensorFlow, or JAX) Experience with photonic design techniques and global optimisation algorithms (Genetic Algorithms, Particle Swarm, Gradient Descent) Experience implementing deep learning architectures
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one or more of the following areas: Programming, Algorithms and computational complexity, Programming languages and compilers, Computer graphics, and Parallel and GPU computing. A typical teaching