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collaboration (neuroscience, artificial intelligence, cognitive psychology) and aims to develop a novel theory of auditory scene analysis in the brain and in machines. In Marseille, the group focuses
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Leibniz-Institute for Food Systems Biology at the Technical University of Munich | Freising, Bayern | Germany | 2 months ago
systems. Key Responsibilities Develop graph-based (multi-)omics analysis algorithms Benchmark graph-theoretic against graph-ML approaches Analysis of food-related (multi-)omics data Your Profile The ideal
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advancing resilient and sustainable infrastructure? As a PhD Candidate with us, you will work toward earning your doctorate while developing strong expertise in probabilistic modelling, structural reliability
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hydrodynamic load models. The purpose of this work is to increase the understanding of longlines with seaweed under sea loads and develop accountable hydrodynamic load models. Your supervisor will be Professor
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symbioses in anaerobic ciliates of the class Litostomatea Early steps in insect evolution with modified postembryonic development in Eumetabola Effects of Affective Stimuli and Stress on Cognitive Processes
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) grant (Grant agreement ID:01227645, https://doi.org/10.3030/101227645 ) ” Specifically, this PhD position (DC5) focuses on the development and comprehensive assessment of "Fermentation and DSP
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candidate will contribute to the READI Project’s effort to develop harmonized EDI descriptors for identifying underserved groups in clinical trials. Regarding career perspectives, it includesx academic
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Infrastructure? No Offer Description The PhD candidate will work on the development of advanced statistical and machine learning methods for time series prediction, with applications mainly in the field of traffic
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an archive, library, museum, or heritage institution, that includes responsibility for collections management, relevant archival research, collections curation and development, and/or public engagement
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Environment, SLICE will therefore develop a research and training programme that bridges the current divide between space engineering and climate science to close the gaps that exist in the Life-Cycle Analysis