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Plasma Physics , Department of Physics, Chalmers University of Technology, focused on innovative research at the frontiers of astroparticle physics. About the research project The selected candidate will
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Inria, the French national research institute for the digital sciences | Bures sur Yvette, le de France | France | about 1 month ago
science. We are looking for a highly motivated researcher with the following qualifications: - PhD in applied mathematics, control theory, signal processing, biomedical engineering, or a related field
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research infrastructure and lab facilities to conduct world-leading fundamental and applied research within communication, networks, control systems, AI, sound, cyber security, and robotics. The department
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Description Open one or two year Postdocs positions on Surrogate Models for Uncertainty Quantification (UQ), at the Centro de Investigación en Matemáticas (CIMAT-SECIHTI, México). We are a UQ research group
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Job Description The Centre for Energy Resources Engineering (CERE) at DTU Chemistry is seeking two talented postdoctoral researchers to contribute to cutting-edge research in CO2 capture and storage
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21 Aug 2025 Job Information Organisation/Company University of Southern Denmark Department The research group in Algorithmic Cheminformatics at the Department of Mathematics and Computer
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Independent research and publication activities in the field of applied mathematics Participation in existing research projects and development of new research projects in the fields mathematical image
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, United States of America [map ] Appl Deadline: (posted 2025/10/03, listed until 2026/04/03) Position Description: Apply Position Description ¬¬Overview: The Data and AI Systems Research Section/Workflow systems Group within
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26 Sep 2025 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Engineering » Aerospace engineering Engineering » Electrical engineering Researcher Profile
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power of NNs with the ability of LMMs to robustly learn from structured and noisy (non i.i.d.) data, applying them on the prediction of both plants and human phenotypes. These models will combine