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Field
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The Leibniz-Institut für Analytische Wissenschaften - ISAS - e. V. develops efficient analytical methods for health research. Thus, it contributes to the improvement of the prevention, early
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solutions using first motion. Experience in full waveform inversion using innovative tools (e.g. ISOLA) and methods (ML), earthquake location algorithms, computer programming and geophysical equipment
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 11 days ago
abstract representations. The FAMIX metamodel of the Moose platform (Anquetil et al. 2020) models software systems as entities (classes, methods, attributes, etc.) and relationships (calls, inheritance
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. This highly interdisciplinary PhD project involves synthesising ring polymers and studying them systematically using a combination of neutron scattering and nuclear magnetic resonance (NMR) methods. During
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 2 days ago
macromolecular complexes (~5.5 billion frames) [1], and the first MDDB node in France ComPASS, a graph-based method for identifying communication networks in protein–protein and protein–nucleic-acid assemblies [2
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3 Apr 2026 Job Information Organisation/Company Utrecht University Research Field Computer science » Cybernetics Computer science » Programming Engineering » Computer engineering Engineering
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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | 16 days ago
fundamental physical mechanisms using computer simulations and the methods of non-equilibrium statistical physics. The Research The PhD student will work under the supervision of Dr. Philip Bittihn within
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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application! We are looking for a PhD student in biomedical engineering with a focus on deep learning for medical images Your work assignments The position focuses on developing methods for federated learning
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, artificial intelligence, and its applications to large scale data domains in science and industry. This includes the development of deep generative models, methods for approximate inference, probabilistic