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Associate Professor of Experimental Physics Focusing on AI-Based Research of Biomolecular Structures
obtained and to solve complex macromolecular structures, the development and use of artificial intelligence and machine learning will increasingly be required. FAU and HZB are jointly appointing a
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the broad landscape of computational science, including artificial intelligence, machine learning, deep learning, and their applications in addressing complex scientific and societal challenges, encompassing
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, Immunology, Pharmaceutical Sciences, Artificial Intelligence, and related fields. Position Requirements: Candidates must hold a Ph.D. or an M.D./Ph.D. degree, and several years of postdoctoral training
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Faculty Positions in School of Al for Science / School of Electronic and Computer Engineering, PKUSZ
of artificial intelligence and fundamental sciences. It focuses on developing a dual-track mentorship system, pioneering a research paradigm that merges scientific first principles with big data, and fostering
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variety development. The successful candidate will be expected to integrate genomic engineering and new data-driven and artificial intelligence models, methods and/or tools for high throughput phenotyping
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artificial intelligence (AI) initiatives by developing and training AI tools aimed at automating and optimizing clinical workflows, operational efficiencies, and administrative tasks. As part of our dynamic
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interaction, reactor engineering, and fusion applications of artificial intelligence and high temperature superconductors, etc. Preference will be given to candidates with experiences in the design
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interdisciplinary research team at the Competence Center Artificial Intelligence in Dentistry (https://www.unizahnklinik-wien.at/en/research/research-units/competence-center-artificial-intelligence/) to develop
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technologies, imaging, data informatics, directed evolution, artificial intelligence). Candidates whose research focus will complement and/or augment the current Department of Cancer Biology interests in cancer
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Neural Networks using Tensorflow, PyTorch, Scikit-Learn, OpenCV, deep learning, and other artificial intelligence techniques. Familiarity with Linux, UNIX, and High Performance Computing environment