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Job Description Field of Research: Computational biology/bioinformatics with emphasis on spatial transcriptomics, proteomics, and immunosequencing using Pixel‑seq and an immune receptor‑focused
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, PyTorch/TensorFlow) experience working with cluster/GPU computing resources is desirable excellent verbal and written communication skills and the ability to work effectively in a collaborative team
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to develop and translate advanced computational tools that directly impact patient care in a clinical environment. Responsibilities: Develop GPU-accelerated dose calculation and optimization algorithms
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-of-the-art compute and GPU infrastructure, including H100 and B300 GPU clusters. Innovation: The opportunity to apply a recently published, "proof-of-concept" method for synthetic enhancer design to a critical
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 13 hours ago
: (1) coordinates all information technology services at the College level; (2) establishes and implements College level computing policy and procedures; (3) represents and advocates
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13 Jan 2026 Job Information Organisation/Company UNIVERSIDAD REY JUAN CARLOS (URJC) Research Field Computer science » Informatics Researcher Profile First Stage Researcher (R1) Positions Research
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languages; experience with GPU programming (e.g., CUDA) is highly desirable. Background in optimization, image-guided radiotherapy, medical imaging, or computational modeling. Experience with treatment
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will involve both experimental and computational work and the candidate is expected to be comfortable with both. The candidate is expected to have (or be close to finishing) a Ph.D. in molecular biology
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. This position is Exempt from the Fair Labor Standards Act (FLSA) overtime provisions. Benefits at a Glance Want to know your total compensation? Use our calculator to get the complete picture! CU advantage
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-access AI resources. Experience in GPU-accelerated computing and reproducible software development, including the use of containerization frameworks (e.g., Docker, Singularity) and collaborative code