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how combinations of genetic variants shape disease risk and how AI methods can most effectively model these patterns. Both stipends involve working with simulated data, biobank-scale genomic resources
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approach must be combined with mechanistic models that describe the specific microstructure elements. A variety of inputs from both experimental work and simulations (i.e., first principle, atomistic, and/or
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support for process development from laboratory to pilot to demonstration scale Working with a wide range of simulation tools such as CFD, numerial optimisation and artificial intelligence Topic-independent
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analysis of AI models, in particular attention mechanisms; 3) documented experience in research work on AI models with applications in the space sector or similar (previous cooperation with the European
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limitations and impact on network requirements. Analyze the performance of underwater communication systems based on wireless optical technology. Perform modeling and simulation of reconfigurable surfaces
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PostDoc/Senior Scientist - Process and Plant Design in the Field of Liquid Organic Hydrogen Carriers
Your Job: Development and evaluation of process concepts in the field of liquid organic hydrogen carriers (LOHC) Development of steady-state and dynamic process and reactor models for the simulation
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derived from both our in vivo and in vitro model systems. We promote an inclusive and collaborative research environment, and you will be expected to actively contribute to method development and to
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supervisor(s). The report models, performance evaluation criteria, and the grant contract model are those approved under the University of Coimbra's Research Grant Regulations. Where to apply Website https
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challenge. The INL laboratory has been working since 2021, on the modeling of the impact of chemical modification of surfaces on the adsorption of metabolites, from fluid samples, and their subsequent
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for students with MSc degree with reference number BI|2026/879 under the scope of the Projet SALVE: Securing Artificial Language Models Against Vulnerability Encoding (2024.14936.PEX), funded by Fundação para a