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Stage Researcher (R1) Country Sweden Application Deadline 30 May 2025 - 22:00 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not
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candidate low-dimensional magnetoelectrics; (b) evaluation of their magnetoelectric properties using density functional theory (DFT) and related computational methods; and (c) advancing theories of novel
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15 Mar 2025 Job Information Organisation/Company Chalmers University of Technology Research Field Computer science » Other Researcher Profile Recognised Researcher (R2) Country Sweden Application
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Are you passionate about sustainable biotechnology and ready to tackle one of today’s biggest environmental challenges? Join our dynamic and interdisciplinary team at Chalmers University of Technology to pioneer the next generation of biorefineries using marine and terrestrial biomass. This...
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The applicant should have a PhD degree in transport, operations research, applied mathematics, computer science, or similar topics. Experience with optimization, data-driven or machine-learning skills
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for the PhD program at Chalmers. Participating in departmental duties, primarily teaching and supervising undergraduate students. Your profile We are seeking candidates with the following qualifications
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Sahlgrenska, we are working to advance AI-based decision-making systems, specifically designed for medical use. Information about the division and the department The Department of Computer Science and
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technology, building physics, HVAC systems, computer science and control systems architecture, thereby advancing all disciplines involved. The project is a collaboration with Building Services Engineering
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Chalmers is offering four full-time 2,5 month summer positions in quantum technology research. Apply today to gain hands-on experience at the forefront of quantum computing, sensing, and
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on developing novel memory and logic devices based on TMDs. These will target both near-term industrial applications and emerging neuromorphic (brain-inspired) computing architectures for AI accelerator hardware