166 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions in Sweden
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for documented circumstances such as parental leave, sick leave, or military service. The following experience will strengthen your application: Experience with biomaterials, such as hydrogels Familiarity with
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methods in High-Energy physics, in particular quantum field theory and particle physics is required. Familiarity with symbolic computer algebra systems such as Mathematica is required You will need strong
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fluids, flow-induced pattern formation in both simple and complex flows (e.g. flow instabilities, product defects), multiscale analysis, and the application of machine learning techniques. About the
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2025 - 21:59 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a
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scientific research publications. Your profile Required qualifications PhD in Chemistry, Chemical Engineering, Physics, Catalysis, Materials Science or equivalent (awarded no more than three years prior
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Deadline 28 Sep 2025 - 21:59 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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Stage Researcher (R1) Country Sweden Application Deadline 6 Oct 2025 - 21:59 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded
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sequencing and synthesis to design useful cell behaviors. The scope of this project is to combine multi-gene control technology and computer algorithms to develop a foundational discovery platform for future
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Subject description The research will focus on the development
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the Swedish Knowledge Foundation. In this position, you will belong to a research group with six senior researchers and several PhD students. The research focuses on managing data and information essential