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mechanisms and developing disease models to preclinical therapy testing, clinical readiness and patient-informed treatment priorities. To achieve this, POLARIS brings together expertise in leukodystrophy
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by combining machine learning with in-depth knowledge of biological processes. We aim to work towards foundation models and integrative theories of biological systems, and towards innovative AI-driven
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support for the lab Job Requirements: Bachelor’s or Master’s degree in Electrical Engineering, Computer Science, or related field Knowledge and experience in world model, computer vision and deep learning
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Institute of Veterinary and Animal Sciences are offering a PhD fellowship in immunology using zebrafish as a model commencing 1 January 2027 or after agreement. The project is part of the research
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combine MRI, EEG/MEG, behavioural assessment, computational modelling and automated neuroanatomical phenotyping. The successful candidate will also become a member of the Vienna Doctoral School in Cognition
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of medical science, and educators to advance learning. We are proud to be part of progress, working together with the communities we serve to share knowledge and bring greater understanding to the world
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processing. Integration of Large Language Models with Knowledge Retrieval: Assist in the use and integration of APIs, open-weight models, etc. combined with large graph databases. Qualifications Bachelor’s
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environment focused on physics‑informed AI tools for materials design and characterization. In a collaborative project with industrial partners, you will work on developing physics‑informed models for heat
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and educate students to do research relevant for the analysis and modeling of complex real-world problems arising in modern Statistical Data Science. KAUST (https://www.kaust.edu.sa ) is an
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electronics and electrical energy storage and conversion devices, within the EM3 team (Electronics, Microelectronics and Modelling for Multidomain Systems) of the UMR ICube laboratory. Grounded in a systems