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years prior to the effective date of appointment with a minimum of one year eligibility remaining. • Strong proficiency in Python or R and experience with High-Performance Computing. • Proficient
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postdoctoral position will be performed within the thematic group CNM2 of D4 department of ICGM, at the pôle Chimie Balard Recherche.The group has large experience in high pressure field and in synthesis of air
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The 'SYstèmes et Matériaux pour la
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Max Planck Institute for Evolutionary Anthropology, Leipzig | Leipzig, Sachsen | Germany | about 3 hours ago
program of the Jena School for Microbial Communication offers an ambitious, structured and interdisciplinary post-graduate training based on top-level fundamental research. As a member of the Cluster
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development. * Implementing computationally intensive algorithms on high-performance computational clusters. * Developing AI/ML-based causal inference models for real-world evidence applications (e.g., target
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Carnegie Mellon University is a private, global research university that stands among the world’s most renowned education institutions. With ground-breaking brain science, path-breaking performances
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, computational analysis Interest in getting trained in molecular and cellular biophysics, bionanotechnology, cell and tissue biology, high end optical microscopy, phenotyping, multiplexing Interest in
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10 Jan 2026 Job Information Organisation/Company THE UNIVERSITY OF HONG KONG Research Field Biological sciences Computer science Medical sciences Chemistry Researcher Profile Recognised Researcher
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for soft materials, with particular emphasis on thermo–visco–hyperelastic behavior, integrating continuum mechanics, scientific machine learning (SciML), and computational physics. The project aims
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join us. At DTU Chemical and Biochemical Engineering, you will operate at the forefront of computational modelling, integrating high‑fidelity CFD with advanced compartment models and modern data‑driven