190 computer-engineering-"https:" "https:" "https:" "UCL" "UCL" "UCL" PhD positions in Sweden
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entry requirements and the specific entry requirements established by the Faculty Board of Science and Technology, and be deemed to have the overall ability required to benefit from the education (Higher
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well as in urban areas. See also: https://www.slu.se/en/about-slu/organisation/departments/ecology/ About the position The researcher will work in the field (in southern Sweden), with statistical analyses, and
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the role of forests in climate change are now key social issues that require more knowledge. In order to both sustainably use and safeguard forest biodiversity, a coherent basic science research program
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, and datasets; often at substantial computational and environmental costs. This PhD project targets sustainable and resource-efficient machine learning with a focus on methods that reduce compute, energy
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build the sustainable companies and societies of the future. Our Cybersecurity group within the Department of Computer Science, Electrical and Space Engineering is now looking for a PhD student to
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department houses master's and bachelor's programs in economics as well as a doctoral program. Priority areas in economics are environment and natural resources, and agricultural economics. Read more about
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Science, Electrical Engineering, or Applied Mathematics with a minimum of 240 credits, at least 60 of which must be in advanced courses in Computer Science, Electrical Engineering, or Applied Mathematics. Alternatively
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Stage Researcher (R1) Country Sweden Application Deadline 16 Jan 2026 - 22:59 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Description The Faculty of Health, Science and Technology is accepting applications
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, genetic manipulations, analysis of genomic rearrangements, telomere assays, and RNA sequencing. The activities include literature review, lab working and computational bioinformatics analysis. Your