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applications for a project scientist (post-doc) position at the GeoHydrodynamics and Environment Research group (GHER, https://www.gher.uliege.be ) of the University of Liège in Belgium. The candidate will work
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Research (CGR) Lab , within the Data Science and AI division, Gothenburg, Sweden. About us The Department of Computer Science and Engineering , a joint department of Chalmers and the University of Gothenburg
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engineering, science, shipping and architecture. With scientific excellence as a basis, Chalmers promotes knowledge and technical solutions for a sustainable world. Through global commitment and entrepreneurship, we
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) Positions PhD Positions Application Deadline 11 Sep 2026 - 00:00 (UTC) Country France Type of Contract Temporary Job Status Full-time Offer Starting Date 1 Nov 2026 Is the job funded through the EU Research
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design and vacuum technology. Electronics and instrumentation. Experience with laser systems and optical setups. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR8552-THIJAC-001
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at the Department of Astrophysics, in particular Univ.-Prof. Dr. João Alves and Dr. Stefan Meingast . Where to apply Website https://iventajobdata.eu/bestmedia/img/2496968/2000123/cl/3e9d72f2e748bae2b0855
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at a high international level. The university has 3100 employees and 10,000 students, and offers education in engineering, science, shipping and architecture. With scientific excellence as a basis
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. Minimum Qualifications Required PhD in microbiology, biochemistry, chemical engineering, or a related field. Demonstrated publication record of scientific findings in peer-reviewed journals. Experience
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to outstanding international research and education in the field of civil engineering, applied earth sciences, traffic and transport, water technology, and delta technology. Our research feeds into our educational
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, the applicants should have: PhD diploma in Transportation, Logistics, Civil Engineering, Mechanical Engineering, Maritime Engineering, or any other related field. Experience with agent-based modelling is essential