568 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"Bournemouth-University" positions at Nature Careers
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basic science to its effective translation for preventing or alleviating disease. Candidates for this joint appointment should have research interests focused in computational immunology/AI/Machine
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Professor (W3 / W2 with Tenure Track to W3) for Materials and/or devices for Photonics and Quantum T
quantum technologies. This research can be complemented by digital methods of process simulation and optimization, as well as machine learning. Requirements include an outstanding PhD in materials science
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workshop for digital and conventional manufacturing (CNC, laser machining, additive manufacturing). At Principal level, you will also contribute to management and long-term technical strategy, infrastructure
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machine learning techniques, will quantify groundwater recharge and groundwater resilience. Your responsibilities: Analyse the dynamics of hydrological connectivity of soil moisture using gridded soil
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uncertainty? What motivates our mice to solve this difficult problem? How does the brain support flexible behavior and strategy-switching? Learn more about the Dennis lab here What we provide: A collaborative
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research group “Machine Learning for Biomedical Data” led by Prof. Dominik Heider and is embedded in the DFG-funded Collaborative Research Centre 1748, Principles of Reproduction. The CRC 1748 involves
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candidates would have direct experience with several of the following methodologies: optogenetics, fiber photometry, in vivo calcium imaging, and/or machine-learning-based behavioral assessment. Additionally
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Grundstufe (praedoc) Reference no.: 5208 Explore and teach at the University of Vienna, where more than 7,500 academics thrive on curiosity in continuous exploration and help us better understand our world
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on bioinformatics, computational biology, machine learning, Ai, and/or related fields, from applicants committed to translational research applicable to the field of cancer. The DCCB, located at the Health Science
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driven, to allow researchers to focus on data intensive tasks. What we provide: An opportunity to broaden research experience in a collaborative environment. A team that believes in continuous learning and