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to the table You have a master's degree (technical college, technical university, university) in mechanical engineering, materials engineering, materials science, physics, electrical engineering, computer
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to the table You have a master's degree (technical college, technical university, university) in mechanical engineering, physics, computer science, electrical engineering, materials engineering, materials
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you can expect By joining this PhD programme, you will be part of a world-class research programme in the fields of biopolymers and materials sciences for healthcare. As a PhD candidate, you will be
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on futuristic technologies in the field of machine learning and computer vision. Hence, we investigate and develop an innovative computation-in-memory (CIM) solution for artificial intelligence accelerator design
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scope of different subjects such as electrical engineering/electronics, microelectronics, microsystems technology, information technology, computer science, physics, chemistry, optics and manufacturing
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program aims to develop novel photonic measurement techniques based on interferometry and nonlinear optics that enable spectroscopic measurements of the entire physiologically relevant concentration range
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personal career in applied research and start a career as a postdoc at our institute. Additionally, we offer female scientists the opportunity to participate in our TALENTA program: a comprehensive career
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… and much more! The working conditions follow the standards set by the EU Research Framework Programme Horizon Europe – MSCA, as outlined on the official European Commission website: PhD Position: Nano
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Fraunhofer Institute for Wind Energy Systems IWES | Bremerhaven, Bremen | Germany | about 1 month ago
Framework Programme? Horizon Europe - MSCA Marie Curie Grant Agreement Number 101168725 Is the Job related to staff position within a Research Infrastructure? Yes Offer Description The Fraunhofer-Gesellschaft
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diverse working day is guaranteed! During the project, you will develop and implement self-learning control algorithms that balance computational demand and modeling precision. You will evaluate, interpret