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modeling of historical controls, as well as machine learning, data science, and epidemiological studies based on large SCI datasets. This is an excellent opportunity to contribute to translational research
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7 Nov 2025 Job Information Organisation/Company UNIVERSITY OF ST GALLEN Research Field Management sciences Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1) Country
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planning, collecting and analyzing large prospective data sets from observational and intervention studies. You have proven leadership experience in an academic environment. Your strong technical knowledge
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applications for LISA data. Planning and deploying HPC infrastructure for large-scale gravitational-wave data analysis for LISA. Supporting additional ETH Zurich | Space projects where software engineering and
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80%-100%, Zurich, fixed-term To support teaching, research and knowledge transfer, the IT Services (ITS) of ETH Zurich are working as a service organization in a large and complex IT environment
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Doctoral Candidate in computer vision and machine learning for developing novel deep learning method
3 Nov 2025 Job Information Organisation/Company Academic Europe Research Field Engineering » Electrical engineering Technology » Other Computer science » Other Mathematics » Applied mathematics
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big data and machine learning methods Administrative details of Hilfsasssitent:in positions can be found here . Profile Student of ETHZ or UZH Demontrated competence in statistics, ideally including
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for reaction-diffusion systems Enhancing the biophysical capabilities of the C++ framework Applying the framework to morphogenetic questions using real imaging data Running large-scale simulations on ETH’s HPC
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analyzing large prospective data sets from observational and intervention studies. You have proven leadership experience in an academic environment. Your strong technical knowledge, leadership and
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Data Processing Center. Prototyping and implementing data-science approaches and applications for LISA data. Planning and deploying HPC infrastructure for large-scale gravitational-wave data analysis