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(CT). In this role the successful candidate will write and seek to publish the developed state-of-the-art algorithms in high quality medical image computing journals & conferences. The successful
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39 Faculty of Computer Science Startdate: 07.09.2025 | Working hours: 20 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Limited until: 07.07.2026 Reference no.: 4408 The position
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and leading a programme of numerical simulations relating to all aspects of our research on P-MoPAs; using particle-in-cell computer codes hosted on local and national high-performance computing
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computational workflows on a high-performance cluster. You will test hypotheses using data from multiple sources, refining your approach as needed. The role also involves close collaboration with colleagues
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integration and statistical modelling Teaching and mentorship experience Excellent interpersonal and communication skills across wet-lab, computational and facility teams Familiarity with high performance
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testing and related workflows alongside a familiarity with command-line environments, high-performance computing (HPC) environments and pipeline execution on compute clusters (e.g., SLURM) are essential. A
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environmental impacts of digital activities. You will lead projects modelling the energy usage of different computing equipment (personal computers, servers, High-Performance Computing infrastructure
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applicant. Access to high-performance computing facilities and cloud-based quantum hardware will be provided to support simulation and verification of theoretical methods. About you The successful candidate
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within the Centre encompass a very wide range of topics including gas turbine performance modelling, propulsion aerodynamics, icing, combustion, computational fluid dynamics, advanced instrumentation
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safety in high stakes clinical environments. Our approach uses sensor technology, machine learning, simulation studies and advanced video analytics to enhance team performance under pressure in high-risk