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STARS and HSMA STARS is an Open Science project that aims to increase the quantity and quality of computer simulation models that are open for reuse by health researchers and the NHS. The post holder will
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computing, computer architecture, programming models and high performance computing. These are your qualifications: Must-haves: Completed doctoral/PhD studies in Computer Science or a closely related field
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becomes essential. This project will focus on building a comprehensive digital twin of a future quantum computer to investigate how classical subsystems scale and interact, and how this scaling impacts
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Experience in statistical or scientific programming (ideally R and/or Python) Experience in analyzing large and/or complex datasets Interest in quantifying uncertainties for computer models and/or climate
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The post holder will develop computational models of learning processes in cortical networks. The research will employ mathematical modelling and computer simulation to identify synaptic plasticity
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preparation, planning and management of beam time experiment, facility-based scattering experiments, experimental data analysis using relevant computer software or developing bespoke computer programs, symmetry
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and statistical modelling, statistical image analysis and computer vision, chemometrics, biophysics, bioengineering. Preference will be given to candidates with a demonstrated experience in applying
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of the Faculty of Computer Science of the University of Vienna. This group is distinguished by excellent research in Visualization and Data Science, as well as applied research in Human-Computer Interaction and
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science, or human-computer interaction. Programming skills needed to do data analysis (we mainly use Python) You can be interested either in theoretical methods development or applications, or a bit of both
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and facilities, including Durham’s High-Performance Computer, Hamilton (15,616 CPU cores, 36TB RAM and 1.9PB disk space). As part of the Northern 8 cluster, members of Durham University can also submit