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PhD student to work on an ERC Starting Grant project under the direct supervision of Dr. Leonie Koban. The thesis project aims at better understanding the brain mechanisms of social context effects
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live in. Your role To this end, one PhD student will be hired to perform research in the domain of quantum computing applied to optimization problems with possible topics covering: Variational quantum
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correlations between active galactic nuclei, especially blazars, and neutrinos detected by KM3NeT. In this context, he or she will play a key role in the KM3NeT real-time data analysis group, as well as in
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groups, each of which proposes a multi-disciplinary approach, at the frontiers of biology, physics and chemistry, in coherence with 3 research axes. Nearly 320 people work at IBS as researchers, PhD
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-Performance Computing for Exascale" contributes to the design and development of numerical methods and software components that will equip future European Exascale and post-Exascale machines. This program is
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closely with our collaborators to establish a deep learning-based image analysis pipeline. The successful applicant should hold a PhD in cell biology or neuroscience. Previous experience in live cell
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well as decentralized machine learning algorithms for large-scale clouds with dynamique parameters. -- Conception of machine learning algorithmes for resource allocation -- Numerical experiments -- Drafting research
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will be responsible for performing a sensitivity analysis of SDM modelling applying for five gorgonian species applying BIOMOD2 to the same data set as the one used in Blouet et al. (2024) and extend
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materials derived from biomass, mainly plant-based. He or she will collaborate with numerous researchers and engineers within the laboratory who are specialists and managers of various polymer
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history (PhD) - Methods and tools for data production (in-depth knowledge) - Professional environment and networks (general knowledge) - Legal and ethical framework (in-depth knowledge) - Written and oral