356 machine-learning-"https:" "https:" "https:" "https:" "https:" positions in United Kingdom
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| Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until: 31.03.2030 Reference no.: 5116 Explore and teach at the University of Vienna, where more than 7,500 academics thrive
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. What you should have: A 1st degree in physics or engineering. An interest in optics, some ability in computer programming A desire to learn new skills in complementary disciplines. You will work jointly
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programmes. We are especially keen to hear from applicants with expertise in areas such as Machine Learning and Deep Learning, Generative AI, Data-Centric and Responsible AI, or AI for real-world applications
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) Neuromodulation approaches (TMS, tDCS, TUS) Neurogenetics Computational modelling (machine learning, reinforcement learning) Our research bridges scales (local circuits to global networks) and species (humans, mice
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inference, and Machine Learning methods. In addition to leading their own research projects, the appointed candidate will have the opportunity to contribute to the projects of PhD students in the group, as
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that enhance learning and employability. You will actively contribute to research and enterprise through developing projects, securing funding, publishing high-quality outputs, and integrating research
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Machine Learning techniques. As Research Associate you will have a research leadership role in the group, and will assist in day-to-day supervision of post-graduate research students. You will collaborate
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Subject area: Drug Discovery, Laboratory Automation, Machine Learning Overview: This 36-month PhD studentship will contribute to cutting-edge advancements in automated drug discovery through
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, these tools have historically suffered from high computational costs preventing their large-scale use in an industrial environment. The role holder will develop and deploy theory-guided machine learning
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inference, and Machine Learning methods. In addition to leading their own research projects, the appointed candidate will have the opportunity to contribute to the projects of PhD students in the group, as