173 machine-learning "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" PhD scholarships in Sweden
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solutions across the natural sciences. Your workplace You will be employed at the Department of Mathematics in the Division of Applied Mathematics, https://liu.se/en/organisation/liu/mai/tima . The research
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vacation (28 workdays per year, corresponding to 5 ½ weeks). Paid maternity/paternity leave (up to 390 days per child). Other benefits are also available. A full list can be found here: https
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below. Your application, including diplomas, must be written in English or Swedish. Closing date for applications: April 21, 2026 Reference number: 2788-2026 URL to this page https://web103.reachmee.com
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Initiatives in Forest Research (WIFORCE) program. The successful applicant will work on the development of bioacoustic monitoring methods using automated recording units (ARUs), deep learning methods, and
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at https://www.slu.se/en/about-slu/work-at-slu/ Description: We are looking for a PhD to focus on separation of fat and proteins from dairy side streams and plant-based extracts. The project is a
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their potential. Join us on our journey in finding new ways to work, pioneering cutting-edge methods and bringing unexpected teams together! How to apply? Read more and apply at: https://astrazeneca.eightfold.ai
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more about our benefits and what it is like to work at SLU at https://www.slu.se/en/about-slu/work-at-slu/ Development of statistical methods for estimating plant population size and change Mathematical
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management and career development. Where to apply Website https://www.hb.se/en/about-ub/work-at-ub/how-to-apply-for-a-job-with-us/ Requirements Research FieldTechnology » Materials technologyEducation
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to apply Website https://www.hb.se/en/about-ub/work-at-ub/how-to-apply-for-a-job-with-us/ Requirements Research FieldTechnology » Materials technologyEducation LevelMaster Degree or equivalent Skills
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) and Machine Learning/NLP (Natural Language Processing) to capture both the network embeddedness and the qualitative B2B relationship features of supply chains. The project identifies key bottlenecks