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Field
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Application deadline: 05.10.2025 Tasks To perform an independent experimental or computational PhD project in the fields of neuroscience, biochemistry, ophthalmology, and / or datascience. Profile Completed
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solutions for building energy management and in district energy networks, and toolkits of solutions for building and district performance assessment. The combination of computer science with the built
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Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig | Leipzig, Sachsen | Germany | 6 days ago
institute of the Max Planck Society and is dedicated to the study of human cognitive abilities and brain processes as well as the development of neuroimaging methods. The Brain Networks Research and
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of cooperation and governance and provide a benchmark for designing circular chains and networks. The PhD position is embedded in the research programme OPERA of FEB’s Research Institute. The project will be
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manner; Actively participate in research meetings and all training and network activities of the ELEVATE consortium. Enroll in a doctoral training program at the Arenberg Doctoral School, and adhere
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15 Sep 2025 Job Information Organisation/Company Łukasiewicz Research Network – PORT Polish Center for Technology Development Research Field Physics Researcher Profile First Stage Researcher (R1
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through the EU Research Framework Programme? Horizon Europe - MSCA Marie Curie Grant Agreement Number 0 Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you
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27 Sep 2025 Job Information Organisation/Company University of Groningen Research Field Computer science » Programming Researcher Profile First Stage Researcher (R1) Country Netherlands Application
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funded 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 Orthogonal relay catalysis is a
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of Chemistry. This position is intended to begin January 1, 2026. The aim of this project is to develop and apply computational methods for statistical learning on chemical reaction network (CRNs) structures