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The University of Texas MD Anderson Cancer Center | Houston, Texas | United States | about 1 month ago
Cancer Genomics and Evolution Laboratory, Prof. Dr. Peter Van Loo, Department of Genetics We seek talented and motivated postdocs in computational biology to join the Cancer Genomics and Evolution
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. This position resides in the Computational Sciences and Engineering Division (CSED) at Oak Ridge National Laboratory (ORNL). CSED focuses on transdisciplinary computational science and analytics at scale
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modeling. This position offers a vibrant research environment with access to world-class high-performance computing clusters and opportunities to collaborate broadly across the departments of Physics
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May 19, 2026 Deadline May 19, 2027 at 11:59 PM Eastern Time Description The Reilly Lab seeks a highly motivated Postdoctoral Associate to join an interdisciplinary research program focused
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Requisition Id 16505 Overview: The Computer Science and Mathematics Division at Oak Ridge National Laboratory (ORNL) is seeking an exceptional Postdoctoral Researcher to advance programming systems
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reduction, nonlocal PDE operators or OpenMP/MPI/CUDA parallelization? If such terms are familiar for you - and if you are excited by the mathematical analysis, development, and rigorous understanding
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.2023.01.012(link is external) Drug Discovery: New Therapeutic Mechanisms In parallel, we use structural biology as a foundation for discovering new therapeutic mechanisms. Our work focuses on using chemically
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, including parallel computing frameworks, C/C++, Julia and/or python Experience with training AI surrogate and/or inverse models Experience working in underground laboratories and/or clean rooms Excellent
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, biomolecules, vesicles, and nanoparticles – to engineer colloidal systems and interfaces with targeted functionality and selective molecular recognition. In parallel, we develop advanced characterization
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develop computational fluid dynamic (CFD) tools that make exascale computing accessible to a broader set of users. The successful candidate will develop a massively parallel solver, capable of running