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used to improve the operation of cryoSTEM microscopes when applied to biological samples. Parallel Model Training: Deploy parallel computing systems for training large-scale cryoSTEM foundation models
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final development stage. This platform will serve as a reference facility for evaluating the performance of novel passive heat transfer enhancement geometries; generating high-quality experimental
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Opportunities to work closely with experimental researchers, clinicians, and computational scientists A collaborative, ambitious, and supportive multidisciplinary team Opportunities to contribute to high-impact
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their data pipeline. These foundation models will be used to improve the operation of cryoSTEM microscopes when applied to biological samples. Parallel Model Training: Deploy parallel computing systems
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. This position is best suited to those who enjoy statistics, coding, manipulating and visualizing data, and other quantitative analysis tasks. Work Performed The new researcher will leverage knowledge and skills
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. Experience using high-performance computing and/or cloud computing. Ability to work independently as well as collaboratively in an interdisciplinary research environment. Strong written and oral
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professionals to accelerate scientific discovery and engineering advances across a broad range of disciplines. As an important part of the broader High-Performance Computing (HPC) infrastructure, the division
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the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The recruited
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18 Sep 2026 Job Information Organisation/Company University of Jyväskylä Research Field Physics » Computational physics Physics » Condensed matter properties Physics » Quantum mechanics Physics
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and numerical modelling. Plan and manage research activities and resources, working independently and collaboratively to deliver project objectives and deadlines. Develop and disseminate high-quality