610 programming-"https:"-"Ikerbasque---Basque-Foundation-for-Science" "https:" "https:" positions in Sweden
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of Medicine at Sahlgrenska Academy, University of Gothenburg. General information about being a doctoral student at the University of Gothenburg can be found on the university's doctoral student pages https
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physics, electrical engineering, or a related field Are interested in quantum technology, quantum information, or condensed‑matter physics Have basic programming experience. Python, MATLAB, or similar is an
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of Contract Not Applicable 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 Research Infrastructure
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) Application Deadline 2 Feb 2026 - 22:59 (UTC) Country Sweden 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
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as well as a resumé and a qualifications portfolio including a description of your research plan, both presented in accordance with Karolinska Institutet’s template (http://ki.se
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24 Jan 2026 Job Information Organisation/Company Chalmers University of Technology Research Field Computer science » Programming Engineering » Mechanical engineering Engineering » Other Physics
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Application Deadline 21 Jan 2026 - 12:00 (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 Is the Job related to
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- 22:59 (UTC) Country Sweden 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
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to national environmental and climate goals as well as to the Sustainable Development Goals. We are situated at Campus Ultuna in Uppsala and in Skara. Read more about the department here (https://www.slu.se/en
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evolution across different genomic regions by developing interpretable and efficient methods in comparative pangenomics, leveraging machine learning methods and statistical analysis (https://cgrlab.github.io