38 parallel-computing-numerical-methods-"Prof" Postdoctoral positions at Chalmers University of Technology in Sweden
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leading Swedish industry partners in 6G and cloud computing, gaining unique opportunities to bridge academic research with real-world applications. Research environment The Optical Networks (ON) Unit
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for personalized medicine. The SYSBIO division provides an international and collaborative environment, combining computational, biological, and medical expertise to address complex health challenges. Who we
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considered. Application deadline: October 15th, 2025 For questions, please contact: Associate Prof. Jinhua Sun Email: jinhua@chalmers.se *** Chalmers declines to consider all offers of further announcement
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Programme? Not funded by a EU programme Reference Number 304--1-14183 Is the Job related to staff position within a Research Infrastructure? No Offer Description We are looking for a postdoctoral researcher
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pharmaceutical materials. In this postdoctoral project, chemically modified cellulose fibers and pharmaceutical formulations are the focus. The aim is to adapt and develop methods in solid-state DNP-NMR
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Application Deadline 9 Oct 2025 - 22:00 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number 304--1
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Application Deadline 28 Sep 2025 - 22:00 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number 304--1
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interesting magnetic and electronic ground states. Here, a special focus lies on crystal growth through chemical transport reactions and flux methods as well as X-ray diffraction, magnetometry and electron
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13 Sep 2025 Job Information Organisation/Company Chalmers University of Technology Research Field Computer science » Computer systems Computer science » Other Researcher Profile Recognised
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groups working towards a common goal. For this postdoc project, we seek a dynamic and motivated candidate with an interest in computational electromagnetism, inverse design, and/or machine learning in