57 neuroimaging-machine-learning-engineer PhD positions at Chalmers University of Technology in Sweden
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and verbal communication skills in English Experience in some of the following areas is meritorious: group theory, statistics, neural networks, machine learning and programming. Evidence of problem
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in the management of technology, people, and organization, and a desire to make groundbreaking contributions to the field of maintenance engineering. PhD Project overview The project focuses
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of Computer Networks and Systems within the Department of Computer Science and Engineering . Within the Division we have four faculty members, four postdocs and eleven PhD students who are engaged in research
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This is a broad call for five fully-funded PhD positions in computer science and engineering to work on machine learning, autonomous systems, software engineering, formal methods, and network
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Chalmers University of Technology, Department of Chemistry and Chemical Engineering / Rahm research group Position ID: Chalmers University of Technology -Department of Chemistry and Chemical
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What does policy and practice for recruitment to university STEM (Science, Technology, Engineering, and Mathematics) education look like, and what are the consequences for equality and social
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division and the department You will be part of the Division for Engineering Education Research at the Department of Communication and Learning in Science, and join our graduate school Communication and
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-SEK, 12-year Wallenberg Centre for Quantum Technology (WACQT), aiming to build a superconducting quantum computer. As part of this project, you will explore quantum computation with microwave circuits
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: Advanced testing on available car- and truck-sized engines. Detailed optical investigations of fuel injection, mixing, and combustion processes using high-speed video imaging and laser-spectroscopic
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corresponding to at least 240 higher education credits in electrical engineering, engineering physics, biomedical engineering, or related disciplines. Very good knowledge of signal processing, machine learning