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quantitative experts (mathematics, statistics, AI&ML, systems engineering). Supervise and support PhD students and postdocs involved in joint projects. Help establish new collaborations with industry and public
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27 Jan 2026 Job Information Organisation/Company Chalmers University of Technology Research Field Computer science » Other Engineering » Control engineering Engineering » Other Mathematics » Applied
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build the sustainable companies and societies of the future. The Robotics and Artificial Intelligence , RAI, subject at the department of Computer Science and Electrical and Space Engineering at Luleå
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that support the unit for area protection and marine spatial planning, as well as operations at SLU Aqua. Your profile You have documented expertise in marine ecology and computer vision and machine learning
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. Your profile You have documented expertise in marine ecology and computer vision and machine learning methods for video-based fish monitoring. You have excellent IT skills and experience in handling
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at the Department of Aquatic Resources (SLU Aqua) are passionate about our vision - Viable fish stocks in healthy waters. We are looking for employees who want to develop and make a difference together with us. The
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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 position within a Research
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- Ångström Laboratory Research Field Chemistry » Structural chemistry Chemistry » Computational chemistry Researcher Profile Recognised Researcher (R2) Country Sweden Application Deadline 8 Jan 2026 - 22:59
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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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The Department of Forest Resource Management is seeking a motivated researcher to drive the digitalization of forest management. The position focuses on developing and incorporating automated, cost-efficient methods for acquiring tree-level data to support precision forestry. About the...