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an existingsoftware developed withthe open-source Deal.II library.The coupling between the two physics will be addressed throughboth monolithic strategiesand partitioned approaches,the latter employing the preCICE
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Doctoral Network that aims to educate and train the new generation of Doctoral Candidates (DCs) capable of tackling these challenges through cutting-edge interdisciplinary research and innovation. REUNATECH
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. The candidate will work on wind turbine and wind farm control, developing innovative control algorithms and validating them through wind tunnel testing. The candidate will also be responsible for teaching
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of mathematical models of biological processes or phenomena, in the presence and absence of pathologies. - - Development and validation of algorithms for the processing of diagnostic biosignals, also using
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(https://metaproteomics.org/ ) formed a strategic alliance to set up a powerful and interdisciplinary network called METAMIC to capitalize on the potential of metaproteomics for developing novel strategies
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Nanomaterials that detect protein-structural changes Nano-optical devices for protein-signal sensing AI algorithms for protein structure and dynamics prediction Outstanding Postdoctoral Training Strategy
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. Applicants should have strong expertise in computational analysis of electrophysiological data as well as proficiency in large language models and machine learning algorithms. First-hand experience in
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with multiple fields of study in the Department—demography, political science, applied economics, public administration, health, and economic history. Candidates should also be able to teach courses in
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development. With over 18,000 students and a strong international community, CZU is a dynamic and modern institution committed to excellence in research, innovation, and education. CZU consistently ranks among
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Università degli Studi di Roma Tor Vergata - Centro di Studi Economici e Internazionali | Italy | about 15 hours ago
Europe-funded OBELISK project investigates the life-course development and economic consequences of childhood obesity. It brings together harmonised longitudinal cohort data, federated data infrastructures