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energy transfer, developing and employing computer simulations, laboratory experiments, and field analyses. Our aim is to gain fundamental insights and develop sustainable technologies to address societal
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their efforts on the education of students and the performance of life-changing research across a wide range of disciplines including medicine, engineering, physical sciences, energy, computer science, and social
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The Faculty of Engineering at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) invites applications for an Assistant Professor of Machine Learning in Digital Health (salary group W1
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prototype models from blueprints, schematics, or sketches. Conduct functional and operational tests to evaluate performance and reliability of prototype or production models. Work with engineers to perform
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Starting Date 1 Jun 2026 Is the job funded through the EU Research Framework Programme? Horizon Europe - ERC Reference Number 101220359 Is the Job related to staff position within a Research Infrastructure
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; multidisciplinary researchers who continue to push the boundaries of innovation in physics and engineering to develop cutting-edge methods for enhanced anatomic and functional imaging; staff who are dedicated and
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Engineering within three months of your employment contract start date, and that you participate in an organized doctoral programme through out the period of employment. The position is conditional on external
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their application to many areas of physics, materials science, biology, earth science, as well as imaging and data science. There is a strong cohort of activities on applied and computational mathematics
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. mechatronics, control theory, computer science, image processing) as well as a solid foundation in mathematics and physics is strongly desirable. Proficiency in the use of computer aided engineering tools is an
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 2 months ago
the nature of the project which is aimed at utilizing cutting-edge technologies, such as Brain imaging, Neurofeedback and Brain-Computer Interfaces (BCI) for neurorehabilitation, the candidate must have broad