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Engineering Master Degree in Earth Sciences Experience in programming and high-performance computing (HPC). Experience in finite element numerical modelling and stabilisation techniques. Experience in
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for spatial and reconfigurable computing for HPC, post-Moore architectures, and sustainability in modern computing systems. The MCS group has a central role in organizing the national and international computer
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to define and drive your own research directions within the project scope, publish and present your findings at top-tier systems and HPC venues, develop and maintain open-source software, contribute
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, Conda, HPC-type computing clusters, etc.), as well as interfacing tools applied to genomics operating systems (workflow engine). Interpersonal skills ● Language skills: very good level of English and
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supercomputers in Europe, was a founding and hosting member of the former European HPC infrastructure PRACE (Partnership for Advanced Computing in Europe), and is now hosting entity for EuroHPC JU, the Joint
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associated numerical methods and AI, will be used with High Performance Computing (HPC) to improve understanding of key flow physics and inform future HPT design. Skills and Experience Required: Applicants
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HPC clusters. Experience of modern computational statistical methodologies, such as Markov chain Monte Carlo, rejection sampling, sequential Monte Carlo, would be highly desirable. Attributes and
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. Bioinformatics: Comparative genome analysis, detection of selection, and functional genomics, phylogenetics. Computational skills: UNIX/Linux, HPC computing, and programming in R and Python. You will gain hands
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rapid and significant shifts in power consumption, next-generation high-performance computing (HPC) platforms used in machine learning, big data and artificial intelligence (AI) based applications (CPUs
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control and cloud/HPC computing platforms. Familiarity with containerization (Docker). Ability to collaborate with multidisciplinary teams (e.g., biologists, clinicians, software engineers) and to