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KTH Royal Institute of Technology, School of Electrical Engineering and Computer Science Job description We are looking for a highly motivated postdoctoral researcher for a joint project between the
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and food web dynamics in northern lakes, informing both conservation and sustainable management of aquatic ecosystems. The position is part of a broader research program on biodiversity and ecosystem
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- 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 Job related to staff
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Sciences and Mathematics at LTU. The project will be carried out in collaboration with Stephen McCormick and is funded by the Kempe Foundation (grant JCSMK25-0130). The tax-free stipend will be 360,000 SEK
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surfaces. Funded by the Chalmers Materials Science Area of Advance , a platform that connects multiple Departments through research, synthesis, and characterization, this position will give you the
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. The applicant should have a PhD in materials science, chemistry, physics, chemical engineering, or a related field. The following qualifications are considered particularly meritorious: experience in processing
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medicines, we encourage you to apply. Qualifications Doctoral degree in a relevant field (e.g., Applied Physics, Biophysics, Nanotechnology, Optics, Electrical Engineering, Computer Science, or related
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Are you interested in developing machine learning algorithms that provably help us make better decisions? Join us as a post-doc in the Division of Data Science and AI, Department of Computer Science
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computational costs by orders of magnitude and enabling breakthroughs in drug design and materials science. The position bridges machine learning and molecular science, with opportunities for collaboration
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Lund University, Centre for Mathematical Sciences Position ID: 1812-PDAM [#28254] Position Title: Position Type: Postdoctoral Position Location: Lund, Skane Lan 22100, Sweden [map ] Subject Areas