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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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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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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 6 hours ago
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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Center for Immunology of Marseille-Luminy (CIML) | Marseille, Provence Alpes Cote d Azur | France | about 1 hour ago
Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Country France Application Deadline 31 Dec 2025 - 12:00 (Europe/Paris) Type of Contract Temporary Job Status Full-time Hours Per Week
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familiarity with high-performance computing environments Experience with quantum programming (e.g., Quantum annealing, Qiskit, etc.) Strong motivation for interdisciplinary research and teamwork Pronounced
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performance outcomes at the network/architecture level. Scientific Impact: Publish high-impact research in top-tier neuromorphic engineering, circuit design, and/or computing journals and conferences
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by Dr. Tim Pleskac (cognitive and decision modeling) and Dr. David Crandall (computer vision and AI). The postdoc will lead the development, integration, and testing of computational models of decision
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observation and high-resolution numerical modelling. However, the high computional cost associated with the numerical modelling approaches that we use at LIENSs (SCHISM modelling system ; Zhang et al., 2016