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- University of Warsaw: Faculty of Mathematics, Informatics and Mechanics
- VIB
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Field
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modelling and simulation of complex systems reinforcement learning or graph neural networks proficiency in Python and related computational toolchains a strong interest in interdisciplinary research bridging
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Lomet, Research Engineer in AI at LIAD, CEA Saclay · Marianne Clausel (University of Lorraine), scientific lead of the national PEPR causali-t-ai program, · Myriam Tami, Associate Professor
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neural populations and their application in animal models In the Department of Neurosurgery. There will be opportunities to lead a team of students, contribute to grant writing, engage in professional
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21 Aug 2025 Job Information Organisation/Company University of Warsaw: Faculty of Mathematics, Informatics and Mechanics Research Field Computer science Mathematics Researcher Profile Recognised
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reinforcement learning and other approaches for cross-domain generalization Qualifications Essential: PhD in Computer Science, Machine Learning, Computer Vision, Natural Language Processing, or closely related
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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 Are you a researcher focused on thermal
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-Driven Sensing and Control for Megaproject Systems who has: a PhD or near-completed PhD in one of the following fields (or closely related): project Management or Project Studies (with strong computational
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research interests might be considered, priority will be given to those able to relate to one or more of the above topics. Applicants must have a PhD in Mathematics, Statistics or Computer Science obtained
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qualified and motivated postdoctoral researcher. The group studies the behavioral, neural, and computational principles behind human learning and decision-making in social environments. Our interdisciplinary
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+ imaging, data analysis and neuronal circuits. Requirement PhD in neuroscience, computer science or a related field High motivation for explorative research Experience in neurophysiology (electrophysiology