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This PhD position is part of the WASP-WISE NEST project RAM³ – a multidisciplinary research effort at the intersection of machine learning and materials science. The project brings together PhD
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Materials science and technology are our passion. With our cutting-edge research, Empa's around 1,100 employees make essential contributions to the well-being of society for a future worth living
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is in collaboration with a commercial funder, there will be an expectation that the candidate engages with the company for updates and scientific discussions. They should therefore also have a passion
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-relationship transactions in young, middle-aged and older romantic couples Planning, conducting, and publishing the above-mentioned research in international journals and presenting the findings at scientific
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but not essential. A strong background in materials science and/or modelling is essential. Experience in machine learning, computer vision, and computer programming is desirable. In addition
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STEER (Science & Technology Entrepreneurship Education & Research) Advancing Science and Technology Entrepreneurship Education and Research through the Development of Pedagogies and Student
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, to discuss the project or if you have any questions. Entry requirements: Applicants should have, or expect to achieve, at least a 2:1 bachelor’s degree (or equivalent) in biomechanics, sport science
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both. Mathematical maturity and experience with scientific programming are essential. A background in probabilistic methods is highly desirable, at the level of master’s courses in probability
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closely with a wet-lab PhD student from the team of Prof. Dr. Jeremias. Job-ID: V000014523 Field of application: Medizinische Fakultät Location: Heidelberg Job Category: Science and teaching Working hours
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of Sciences. We are a member of the Vienna Center for Quantum Science and Technology (VCQ), one of Europe’s largest hubs for quantum science, and of the Austrian Cluster of Excellence quantA, which supports