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the structural characterization and modelling of molecular and soft materials. • Experience of transport phenomena in soft electronic materials • Experience of scripting on high performance computer systems
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microorganisms to patterns and processes occurring at the global scale. The University of Amsterdam has excellent high performance computing facilities. Furthermore, IBED has a dedicated computational support
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About the Opportunity This job description is intended to describe the general nature and level of work being performed by people assigned to this classification. It is not intended to be construed
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at: www.ftf.lth.se , www.nano.lu.se , https://kaw.wallenberg.org/en/research/semiconductor-bandgap-key-future-green-electronics, https://c3nit.se/ Subject description The purpose of this project is to develop a data
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Application Deadline 4 Sep 2026 - 12:00 (Europe/Dublin) Country Ireland Type of Contract Temporary Job Status Full-time Hours Per Week 39 Is the job funded through the EU Research Framework Programme? Not
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independently and as part of a team. Desirable requirements Familiarity with chemical fragment screening methodologies, chemical analysis via high-performance liquid chromatography coupled with mass spectrometry
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context Ensure reproducibility, data management, and documentation of computational workflows in high-performance computing environments Collaborate closely with experts in computational biology across
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have access to raw eBird data (> 2 billion observations) and the ability to engage with the eBird Status and Trends modeling team. We will also provide access to high-performance computing resources and
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related technologies. Keywords: Particle accelerator, Beam-driven plasma, Low-energy beamline, High-intensity accelerator For information about our laboratory, please refer to the following link: https
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Prepare and submit proposals for high-performance computing (HPC) resources and manage allocated compute efficiently. Optimize training pipelines for scalability and reproducibility. Contribute to group