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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Umeå University is offering a PhD student position in Computer Science with
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on behavioural syndromes and social networks in dogs and to some extent wolves. The selected PhD student will work with large-scale behavioural data sets using a range of approaches, including heritability
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education to enable regions to expand quickly and sustainably. In fact, the future is made here. Umeå University is offering a PhD student position in Computer Science with a focus on visual language
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behavioural phenotypes and social systems develop and evolve. Specifically, the project will focus on behavioural syndromes and social networks in dogs and to some extent wolves. The selected PhD student will
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educational programs in Computing Science, we are now seeking a PhD student with a focus on Computer Security. The Department of Computing Science has been growing rapidly in recent years, with a focus on
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in Uppsala, Skara, Umeå and Gothenburg. As a PhD student, you will be in a creative and stimulating environment with the opportunity to network with both the business community and international
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international professional network between PhD-students, researchers and industry. Read more: https://wasp-sweden.org/graduate-school/ Specifically, the position is part of a cross-disciplinary, so called, WASP
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universities, and visiting lecturers, the graduate school actively supports forming a strong multi-disciplinary and international professional network between PhD-students, researchers and industry. Read more
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Application Deadline 14 Sep 2025 - 22:00 (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 Reference Number 1114
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format. This will allow combinations of neural networks with physics models. The project brings together PhD students and senior researchers from multiple disciplines to tackle challenges in sustainable