296 computer-science-intern-"https:" "https:" "https:" "https:" "The University of Manchester" Postdoctoral research jobs in Sweden
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18 Feb 2026 Job Information Organisation/Company Luleå University of Technology Research Field Engineering Researcher Profile Recognised Researcher (R2) Application Deadline 17 Mar 2026 - 12:00 (UTC
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on extensive national and international research collaborations, we build research and communication that advance ecology as a science and promote sustainable agriculture. More information about the department
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connection with this position. *** Chalmers University of Technology in Gothenburg conducts research and education in technology and natural sciences at a high international level. The university has 3100
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Sciences. Teaching is conducted in electrical engineering, signal processing, control engineering, mathematics, physics and chemistry. The Master of Science in Marine Engineering program is within
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(Stockholm, Sweden) and the candidate will benefit from a strong (inter-)national network of collaborators in protease biology and computational proteomics. The successful candidate for this position will join
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of Technology in Gothenburg conducts research and education in technology and natural sciences at a high international level. The university has 3100 employees and 10,000 students, and offers education in
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these may be taken into consideration. We are looking for a candidate with a PhD in Electrical Engineering, Engineering Physics, Mathematics, Computer Science, or a related field, with expertise in
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collaboration with international, national and regional companies, the public sector and leading universities. Luleå University of Technology has an annual turnover of just over SEK 2.3 billion. We have more
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proteomics, computational biology, and large-scale data integration Interest in plant immunity, chloroplast biology, or protease biology Ability to work independently and collaboratively in an international
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interdisciplinary research teams and internal and external partners. Required qualifications Applicants must have: A PhD in ecology, marine biology, statistics or a related discipline. Strong expertise in statistical