3,201 parallel-computing-numerical-methods Postdoctoral positions in Ireland-University-Ranking-2024
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at the Bioinformatics Group within PSG. This research group focuses on fundamental and applied bioinformatics research in the green life sciences. In particular, they develop and apply novel computational methods
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methods in computational biomedical/biological related research • Experience collaborating with experimental (wet-lab) researchers • Strong communication skills Required License/Registration/Certifications
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
Postdoctoral Trainee - Carolina Cancer Nanotechnology Training Program Vacancy ID PDS004947 Full-time/Part-time Full-Time Temporary Hours per week 40 FTE 1 Work Location Chapel Hill, NC Position Location North
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of the primary objectives of the ITC is to integrate conceptual theory with computational modeling. We are, therefore, interested in candidates working in any field related to theoretical and/or numerical
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, etc. - ML-augmented numerical method development. - High-performance computing (HPC). - Quantum algorithm design. - Error correction or error mitigation. City
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mammals, with the goal of revealing new mechanisms of gene regulation and cellular signaling. Position Overview The successful candidate will develop and apply advanced computational methods to identify
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The Applied Mathematics and Computational Research Division at Lawrence Berkeley National Laboratory (Berkeley Lab) is seeking a Postdoctoral Researcher – Scientific Machine Learning & Computational
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modeling with an understanding of numerical methods and physical processes relevant to ocean circulation and dynamics. Experience with high-performance computing, parallel numerical models, large scientific
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We invite applications for a 2-year Postdoctoral Research Associate position in Nucleic Acid Computing and Molecular Programming in the laboratory of Dr Gamze Gursoy at the University of Cambridge
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understanding of data quality, reproducibility and robust analytical practice. Experience of SQL, cloud-based or high-performance computing environments, and Bayesian methods would also be valuable. Beyond