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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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://arxiv.org/abs/2509.00098 ) This project sits at the intersection of artificial intelligence and materials characterization and modeling. The goal is to create an AI system that can intelligently operate
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Postdoctoral Researcher - Remote Sensing & Fuel Moisture Modelling Location: Christchurch or Rotorua location Duration: 2 years Organisation: Scion Research Are you passionate about using satellite
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physics and condensed matter theories to address the problem of fracture in complex materials. You will be working with experimental model systems and numerical simulations of materials that exhibit
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physics and condensed matter theories to address the problem of fracture in complex materials. You will be working with experimental model systems and numerical simulations of materials that exhibit
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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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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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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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31st October 2025 Languages English English English We are looking for Postdoc within energy modelling and automation. Apply for this job See advertisement About NORCE Would you like to use your
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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