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Post Doc position in transition metal catalysis and carbon capture Are you interested in combination of transition metal catalysis, and can you contribute to the development of materials for CO2
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? No Offer Description Tenure-track Assistant Professor or Associate Professor of Food and Ingredient Biochemical Processing Department of Food Science Faculty of Science University of Copenhagen
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role in developing and implementing novel computational models within a boundary element framework, coupling the BEM with models for flow separation, viscous drag and cavitation. There is room to shape
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Post Doc position in transition metal catalysis and plastic recycling Are you interested in transition metal catalysis, and can you contribute to the development of thermoset polymer recycling? Then
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electronic components by integrating thermal design directly into the early stages of technology and component development, this position may be the right opportunity for you. We are looking for an Assistant
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for career development Access to high-performance computational resources (with GPUs) A collaborative environment across research fields, including plant biology, quantitative genetics, and population genetics
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of bioacoustic signals. Extensive experience with programming (Matlab, R, Python) including GPU programming is required, and familiarity with edge-based machine learning (particularly sound event detection), open
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have access to NBIA’s substantial computational resources, including an in-house CPU/GPU cluster. Postdoctoral fellows at the Niels Bohr Institute receive a competitive salary (including pension) and
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responsible for: Conducting research on sustainable and resource-efficient AI systems for edge datacentres. Creating hardware-aware search spaces for CPUs, GPUs, and accelerators, and developing multi-objective
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Assistant Professor Position in Transient Electromagnetic Signal Processing, Modelling and Inversion
field data acquisition, processing, and interpretation. * Strong programming skills. Advanced Python programming is mandatory; experience with PyTorch, GPU-implementations, or other high-performance