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Field
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an objective and consistent method of measurement. The implication of this is a mechanism through which customer and supplier can agree on model quality. Furthermore, the outcome will inform the development
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, enabling systematic and efficient exploration using modeling and simulation tools.For the full details please check: https://workingat.vu.nl/vacancies/phd-in-reconfigurable-spatial-accelerators
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predictive checking, model comparison) • Computational modelling with Python and Dynesty, JAX, NumPyro, and PyTorch • Use of asteroseismic and spectroscopic survey data (e.g. PLATO, Gaia, APOGEE, TESS) • High
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alterations that relate to CHI and principally evaluate their fit as biomarkers for CHI diagnostics. This project will provide training in gene editing, iPSC technologies, and complex cell models with a focus
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? Then check out the vacancy below and apply for a PhD position in this exciting research direction. Join Us! Modern deep learning is progressing fast. Yet even the most advanced neural networks are paired
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models for the integration of healthcare data specifically incorporating patient preferences. This includes challenges such as how to adapt to different perspectives and data models as well as ensuring
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from the fetal MRI scans. Additionally, mesh modelling techniques will be developed to create 3D Finite Element (FE) mesh models from the segmented fetal and maternal anatomy. These FE models will then
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funded through the EU Research Framework Programme? Other EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Data integration and numerical modelling
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Description Develop models to trace global material and financial flows, uncover bottlenecks, and assess how resource and investment constraints shape pathways to a feasible clean energy transition. Job
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) develop novel performance metrics combining accuracy and explainability, to be tested across different AI model types; (2) devise new algorithms for selecting models optimised for holistic performance