928 computational-physics "https:" "https:" "https:" "https:" "The University of Edinburgh" positions in Sweden
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educational programs in Computing Science, we are now seeking a PhD student with focus on Software Lifecycle Security. The Department of Computing Science has been growing rapidly in recent years, with a focus
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- 21:59 (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 Job related to staff
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Is the job funded through the EU Research Framework Programme? Horizon Europe - MSCA Is the Job related to staff position within a Research Infrastructure? No Offer Description The selected PhD
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collaborations, we build research and communication that advance ecology as a science and promote sustainable agriculture. More information about the department: https://www.slu.se/institutioner/ekologi/ Read more
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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 Description of the workplace The Department of Clinical Sciences, Malmö
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. The candidate will apply and further develop computational workflows (e.g., R) for compound identification in complex matrices, with emphasis on R‑based data evaluation and visualization. The position also
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, Moving to Lund and Living in Lund .Read more about the University joint announcement: : https://www.lunduniversity.lu.se/lund-university-programme-global-excellence Duties – what we expect from you For
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backgrounds include agricultural science, environmental science, geography, environmental engineering, physics, biology, engineering, or other related fields. We value motivation, curiosity, and the ability
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on https://www.slu.se/en/study/programmes-courses/doctoral-education/ . Form of employment Employment as a doctoral student (4-year programme) Doctoral student’s salaries are set following the local
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–environment systems. A central component of the project is the development of next-generation process-based eco-epidemiological models that explicitly integrate environmental variability, ecological