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We invite you to apply for a PhD position connected to the research project Cybersecurity Awareness in Production (CyProd). Computer science is the study of computers and algorithms, including
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Umeå University is one of Sweden’s largest higher education institutions with over 41,500 students and about 4,600 employees. The University offers a diversity of high-quality education and world-leading research in several fields. Notably, the groundbreaking discovery of the CRISPR-Cas9...
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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 We invite you to apply for a PhD position connected to the research project
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University is currently conducting a highly relevant research project focusing on issues related to sustainability and total cost. We are now seeking a PhD candidate for this project. We are looking
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continuously strive to create conditions for job satisfaction, development, and participation for all employees. The research group is now seeking a full-time (100%) PhD student starting June 1st, 2026 (or as
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largely equivalent knowledge in some other way, in Sweden or abroad. The employment of doctoral students is regulated in the Swedish Code of Statues 1998: 80. Only those who are or have been admitted to PhD
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DDLS industrial PhD position We are announcing a position for a Data-Driven Life Science (DDLS) PhD student in data-driven precision medicine and diagnostics. To be a doctoral student means to
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. The department has education assignments in engineering programs and master's programs. More information is available on our website Department of Chemistry Ångström Laboratory Duties The PhD student
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the time the applicant is admitted to the PhD program at the Department of Biochemistry and Biophysics. You meet general entry requirements if you have completed a second-cycle degree, or completed courses
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computational capabilities in Sweden. This PhD position is part of the DDLS research area Evolution and Biodiversity. Data-driven evolution and biodiversity concerns research that takes advantage of massive data