181 cloud-computing-"https:" "https:" "https:" "https:" "https:" scholarships in Sweden
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at Master’s level in Computer Science, Electrical Engineering, or Applied Mathe- matics with a minimum of 240 credits, at least 60 of which must be in advanced courses in Computer Science, Electrical
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https://www.kau.se/en/csd https://www.kau.se/en/smeer Duties As a doctoral student, you will primarily dedicate time to your own studies. The doctoral programme comprises 240 credits for a Degree of
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Framework Programme? Horizon Europe - MSCA Reference Number GLYCOCALYX-DC12 Marie Curie Grant Agreement Number 101227305 Is the Job related to staff position within a Research Infrastructure? No Offer
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/tensions between the global North and global South. We will also consider applicants focused primarily on Swedish/Nordic cases or topics. For full information of the five REMESO research streams see: https
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: https://www.slu.se/en/about-slu/organisation/departments/department-of-wildlife-fish-and-environmental-studies/ For more information about the Aquatic Ecology research group visit: www.slu.se/en/research
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Union’s flagship funding programme for doctoral education and postdoctoral training of researchers, and about MSCA Doctoral Networks . Website for additional job details https://umu.varbi.com/en/what:job
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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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14 Dec 2025 Job Information Organisation/Company Uppsala universitet Department Uppsala University, Department of Information Technology Research Field Computer science Engineering Technology
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education to enable regions to expand quickly and sustainably. In fact, the future is made here. Description of work You will be working in the laboratory of Marta Bally (https://ballylab.com/ ), in close
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application! We are looking for a PhD student in Statistics and Machine Learning Your work assignments We are looking for a PhD candidate to work in the intersection of computational statistics and machine