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. Your work tasks This Postdoc sits at the intersection of mathematics, statistics, data science, and public health. The goal is to develop new methods that allow researchers to learn from
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engineering and information sciences. In parallel with basic research, we develop ideas and technologies further into innovations and services. We are experts in systems science; we develop integrated
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Confidential Computing and Secure Multi-tenancy. The candidate will be able to make research contributions in areas of system software architectures to support secure computing enclaves on large scale
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, numerical methods, or data-driven modeling of physical systems. Experience developing or applying computational models to physical or engineering systems. Proficiency in Python, C++, C, FORTRAN, or similar
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engineering and neuromuscular signal analysis Developing, implementing, and evaluating large-scale data analysis methods using high-performance computing infrastructure Analysing experimental HD-sEMG
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, with its world leading groups in functional programming and formal methods, provides the ideal environment for research on programming with formal guarantees — a topic of increasing practical importance
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activity: We are looking for a postdoctoral university assistant to complement the research team around Univ.-Prof. Ilaria Perugia, PhD. The focus of our research is in the area of Numerical Methods
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numerical methods, high-performance computing (HPC), or large-scale data analysis. Experience in applying AI/ML techniques to hydrological and Earth sciences. Proficiency in scientific programming
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selected candidate will join the Multiscale Materials (MsM) group within the Advanced Computing Methods for Physical Sciences Section in CSED. The MsM group is dedicated to delivering multiscale, multi
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algorithms for analysis of large image datasets. Experience with parallel computing, high-performance computing, distributed computing, and/or cloud-based computational workflows. Experience with large-scale