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. Qualifications Requirements for the position are: M.Sc. in engineering, computer science, neuroscience, statistics, physics, mathematics or a related discipline. Competence using Linux-based high-performance
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integration opportunities. The main goals of the doctoral work will be to design, prototype and test thermal energy storage and integrated systems including heat pumps and to perform system level techno
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of scientific articles, which will form the basis of your doctoral thesis. The position generally also includes teaching on Chalmers' undergraduate level or performing other duties corresponding to 20 percent of
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for research/teaching staff at Umeå University are that the applicant has both a good ability to collaborate and the requisite competence and suitability in general to perform the duties of the post to a high
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Deadline 15 Oct 2025 - 12:00 (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 Is the Job related to staff
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tomography, EPR imaging and spectroscopy) to evaluate performance of electrodes and to map electrolyte chemical composition in micrometer resolution, allowing validation of the model predictions. Validation
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. Familiarity with git and GitHub. Competence using Linux-based high-performance parallel computing systems. Experience with UKBiobank. Other information This is a fixed-term position (SÄVA) of 12 months, 100
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SEK (about 350 million USD) over 12 years from the Knut and Alice Wallenberg (KAW) Foundation. The DDLS program funds 50 high-profile young group leaders (“Fellows”), over 210 postdoctoral positions and
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participation in meetings and workshops. Your daily tasks will include coding scripts and performing computations using CFD, FEM, and acoustics software. Over the course of the position, you will gradually
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machine learning approaches Implement and manage workflows for large-scale data processing on high-performance computing systems Design and perform validation experiments through tissue imaging, molecular