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in multimodal imaging. Experience in machine learning is highly valued. You will support user-driven research projects and develop integrated data workflows spanning light microscopy (confocal, super
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various versions of ProQ. The group comprises 5 PhD students, one postdoc, and one senior researcher. Qualification requirements Requirements are: Doctoral degree including work in machine learning applied
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. The position is limited to four years, with the possibility to teach up to 10%, which extends the position to 4.5 years. A fixed salary of 39,900 SEK per month, valid for Marie-Curie funded PhDs. A
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++, Fortran) Background in mechanics of materials or computational modelling Experience with machine learning for physical fields/PDEs/GNNs and HPC workflows Interest in interdisciplinary collaboration and
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PhD with a background in science and technology studies (STS), human-robot interaction (HRI), human-computer interaction (HCI) or social sciences. The project aims to develop a Nordic Model for
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processing techniques and machine learning methods to not only suppress interference but also leverage it to enhance sensor performance. The PhD student will play a key role in advancing these new radar signal
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opportunities for continuous personal development in pedagogics and opportunities to teach and administrate courses at both the bachelor and master level. Development of and participation in PhD-level courses is
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? Horizon Europe - ERC Is the Job related to staff position within a Research Infrastructure? No Offer Description Project description Third-cycle subject: Human Computer Interaction Robots will care for
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in artificial intelligence (AI) to join our growing biomedical innovation team. In this pivotal role, you will lead and contribute to the design, development, and deployment of machine learning
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higher education credits, or acquired, in some other way within or outside the country, substantially equivalent knowledge We are looking for a PhD student with strong experience in machine learning, deep