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of assessing microstructural homogeneity, which is increasingly important for product-scale electrolytes. The PhD candidate will join a dynamic, interdisciplinary research team working at the interface
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interface graph extraction, large-scale repository mining. Parallel data pipelines. `multiprocessing`, Ray or Dask; checkpointing, heartbeats, cost estimation before launching a run that touches millions
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Job description The rapid development of large offshore
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of sources and chemical transformations are not yet well represented or tested in large-scale models. The goals of this PhD project will be to better represent these processes in a global 3D model, to test
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experience in power electronics (10%) 2. Design and optimization of power supplies. (20%) 3. Modelling and control of power converters and energy conversion systems (DC Microgrids,…). (20%) 4. Digital control
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logistics Analyse and interpret large-scale molecular data (approximately 11,000 proteins per project) in collaboration with our bioinformatics and statistics collaborators Publish results in international
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actuation and control. Although research has demonstrated stable levitation and contact-free pumping in laboratory-scale systems, reliable design methods for realistic industrial operating conditions remain
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setups Assist in the preparation of reports and protocols Apply for fellowships and grants Support experiments at large scale facilities such as synchrotrons and Free Electron Lasers – FELs Requirements
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scholarship is fully-funded for three and a half years (UKRI rates) and includes fees, an annual stipend, an additional London allowance and associated costs, such as training. NU London is both a UK university
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AITHYRA GmbH - Research Institute for Biomedical Artificial Intelligence of the Austrian Academy of Sciences | Vienna, Virginia | United States | about 21 hours ago
(following the recommendations of FWF ) You are a "full-scale" thinker: You are fascinated by the integration of AI across biological scales, from the molecular level to entire biological systems, and you are