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-Performing Computational Fluid Mechanics. Great emphasis will be placed on personal skills. Join us at KTH KTH shapes the future through education, research and innovation. As a leading international technical
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willingness to learn: High-performance computing (distributed systems, profiling, performance optimization), Training large AI models (PyTorch/JAX/TensorFlow, parallelization, mixed precision), Data analysis
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research program by performing physics analysis, and in addition, by contributing to the maintenance, operation, performance improvement, and upgrade of one of the sub-detector systems. Qualification
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Postdoc (f/m/d) on Generative AI for de Novo Protein Design / Completed university studies (PhD) ...
, PyTorch # Mandatory experience with High-Performance Computing (HPC) cluster environments and the Slurm cluster environment is required # Communication skills in English and in a professional context
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the role of hyperglycosylated extracellular matrix (ECM) in the tumor growth and its role in promoting EMT. The selected candidate will perform experiments in vitro and in vivo, using high-throughput
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focus on ensuring the project sponsor and larger scientific community will benefit from the work performed. REQUIRED: PhD in engineering, physics, computer science or closely related field completed
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focus on ensuring the project sponsor and larger scientific community will benefit from the work performed. Job Requirements REQUIRED: PhD in engineering, physics, computer science or closely related
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Postdoc Positions Country Denmark Application Deadline 1 Feb 2026 - 23:00 (Europe/Copenhagen) Type of Contract Temporary Job Status Full-time Hours Per Week 37 Is the job funded through the EU Research
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We are looking for a postdoc to join our international team with a broad research focus from functional materials, electrode processing, to the high performance batteries. Become part of our
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Job Description The Quantum and Nanophotonics Section at DTU Electro is seeking a highly motivated postdoc to be a part of a program on ‘Symmetry-guided discovery of topological photonics’, led by