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Field
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, or imaging-based methods.Experience with image analysis, single-cell or spatial omics data analysis. Familiarity with machine learning frameworks (e.g. PyTorch, TensorFlow) Mindset Curious, self-motivated, and
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you curious about complex systems and learning
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HBIGS Heidelberg Biosciences International Graduate School | Mannheim, Baden W rttemberg | Germany | 10 days ago
rotation imposes a day-night cycle, which underlines the necessity for an endogenous circadian clock to adapt organ physiology to environmental changes. While we have learned about daily changes in organ
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EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD Position: Deep learning for phase-contrast synchrotron X-ray tomography Reference code: 2026
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of material behavior to the development of the material to the finished component. PhD position on physics-based machine learning modeling for materials and process design Reference code: 980 - 2026/WD 1
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the synergy between oxidation and creep. This is because several other damaging mechanisms: dislocation cell size increase, particle coarsening, embrittling precipitates or the formation of voids at grain
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description Integreat - the Norwegian Centre for Knowledge-driven Machine Learning at the University of Oslo invites applications for a doctoral research fellowship. The PhD candidate will work at the
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researchers. The centre is internationally recognized, with interests spanning a broad range of research areas in biostatistics, machine learning and epidemiology and numerous collaborations with leading bio
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postdocs will be part of the Research School. The DDLS program has four strategic research areas: cell and molecular biology, evolution and biodiversity, precision medicine and diagnostics, epidemiology and
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 13 days ago
macromolecular dynamics, as well as collaborations with the European MDDB initiative. The candidate will develop new graph transformer architectures to learn conformational heterogeneity from molecular dynamics