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Dipartimento di Fisiologia e Farmacologia - Sapienza Università di Roma | Italy | about 15 hours ago
Electroencephalography (EEG) and magnetic resonance imaging (MRI) can detect early alterations in neural networks that manifest as cognitive and sleep-wake cycle disorders in the early stages of Alzheimer's disease
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to early-stage efforts focused on muscle biology and inflammatory disease. The successful candidate will apply their expertise in murine models and immunology to explore disease mechanisms, validate novel
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preparation, Committed to personal development and updating of knowledge and skills, Hands-on experience in work with genetic mouse models, organoids, live cell imaging, 3D immunofluorescence will be viewed
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related field. Demonstrable expertise in foundation models / large language models, multimodal modelling, or agentic / multi-agent systems is essential. Experience or strong knowledge of causal discovery
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/InstituteVIBCountryBelgiumCityLeuvenPostal Code3000StreetHerestraat 49Geofield Contact City Leuven Website https://jobs.vib.be/j/130090/postdoc-position-deep-learning-for-glioblastoma-sequence-to-function-models Street Herestraat 49 Postal
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Understanding and modeling material behaviour is central to many engineering challenges. This fully funded Doctoral student project, “Material Model Discovery from Physics-Encoded Neural Networks
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position (m/f/d) in multiscale, multiphysics, mathematical modelling of plant morphogenesis as soon as possible. Description of the project Plant growth is a complex hydromechanical process in which cells
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: Master's degree in Economics in Computer Science and Econometrics or a graduate with a specialization in Business Intelligence, knowledge of advanced econometric modeling and statistical methods, programming
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of technical knowledge, we expect you to have: A strong knowledge of R (strong skills in data wrangling using tidyverse syntax and functions, working with quarto documents, visualizing data, and writing clean
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subsidiarity at the territorial scale," specifically through the "materials for energy storage" program. Using molecular modeling tools, the objective is to participate in the design of a single catalyst capable