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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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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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formulating constitutive and damage laws that capture cavitation-driven processes, implementing and verifying robust large deformation solvers, and performing rigorous verification and validation using datasets
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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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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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Swiss Federal Institute for Forest, Snow and Landscape Research WSL | Switzerland | about 1 month ago
information across scales. In this project, you will leverage the large soil database (>2000 profiles) hosted by the Soil Functions and Dynamics group, along with soil spatial modeling techniques, to assess
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9 Oct 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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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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6 Nov 2025 Job Information Organisation/Company Empa Research Field Chemistry » Other Physics » Other Researcher Profile Recognised Researcher (R2) Country Switzerland Application Deadline 3 Feb
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, Biochemistry, Biomedical Engineering, Materials Science, or Life Sciences at large. Strong interest in regulatory pathways & strategy paired with scientific curiosity and motivation to understand implantable