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recommendations for leadership. Experience implementing new HR policies, systems, programs, service models, or workforce initiatives in partnership with central HR or institutional leadership. Advanced knowledge
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Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
interested in recruiting faculty members who use and develop artificial intelligence methods and mechanistic mathematical models to address fundamental questions in biology. Examples of research topics include
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modelling (numerical simulations, e.g. matlab or python, or analytical modeling), OR optomechanics, OR high frequency devices. You are eager to learn and expand your knowledge! Basic knowledge of analog and
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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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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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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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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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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