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Contribute to the preparation of scientific and technical reports. Develop and apply methodologies based on Density Functional Theory (DFT) to complex systems. Support simulation tasks and results analysis
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applications involving image analysis, real-time monitoring, or complex process optimization. You have hands-on experience with model optimization techniques such as post-training quantization (PTQ
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skills and curiosity about complex systems. Position Overview You will design and implement new computational and statistical models to reverse-engineer causal networks from noisy, high-dimensional, multi
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University Medical Center Utrecht (UMC Utrecht); yesterday published | Netherlands | about 21 hours ago
This is a full-time post-doctoral position (1.0 FTE), initially for 1.5 years, and will be embedded within the UMC Utrecht AI-Lab initiative. Your primary focus will be the development of AI models
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develop and apply advanced preclinical model systems in lymphoma—including organoids, patient-derived xenografts (PDX), and humanized mouse models—to enable functional genomic approaches and the testing
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] * Background of the recruitment and description of the project The Complex Fluids and Flows Unit carries research in fluid dynamics making use of direct numerical simulations. Highly motivated candidates
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Job description In recent years, AI models have shown remarkable
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. Depending on your profile, you can set your own focus (e.g. on scalable training, data/feature pipelines, or model development) working closely with Helmholtz Munich, MDC Berlin, and NVIDIA. You will: Set up
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— on the materials modelling of ultrathin ferroelectric films. The overall goal of this research project is to produce strategies to manipulate the polarization in ultrathin ferroelectrics, and to design ferroelectric
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Is the Job related to staff position within a Research Infrastructure? No Offer Description Postdoc in geomicrobiology modelling: microbial dormancy in Earth's ecosystems and biogeochemistry M/F