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twins, human-centric systems, robotics PhD-E: Optimizing Images Quality and Deep Learning Methods for Vineyard Disease Detection. PhD grantors: University Padova (IT) & Poznan University of Technology (PL
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1Zipcode80539CityMünchen Contact details E-Mail: recruiting_cens at physik.uni-muenchen.de Web: https://www.cens.de Legal notice: The information on this website is provided to the DAAD by third parties. Despite careful
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of Informatics. You will be part of Visual Intelligence and the DSB group. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/293458/phd-research-fellow-in-deep-learning
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-learning-for-medical-image-analysis Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/293458/phd-research-fellow-in-de… Requirements Research FieldComputer scienceEducation LevelMaster
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of this PhD is to develop physics-informed neural operator frameworks that embed governing equations and invariants of fluid mechanics directly into learning architectures, enabling real-time, generalizable
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-driven biocatalysis and accelerate bioprocess development. DC1: Machine learning-guided multiparametric optimisation of cytochrome P450 monooxygenase PhD enrolment: Technical University of Denmark DC2
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safety and reliability in LLM-powered agentic systems. Where to apply Website https://www.findaphd.com/phds/project/safe-agentic-llm-reasoning-via-formal-ver… Requirements Research FieldComputer
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-based interatomic potentials, and active learning strategies for identifying materials with high thermoelectric efficiency (ZT figure of merit). Where to apply Website https://emploi.cnrs.fr/Candidat
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Todos os Domínios Científicos and Project Reference COMPETE2030-FEDER-00832000 Projeto No. 17029 – Fundação para a Ciência e a Tecnologia”. Website for additional job details https://www.fraunhofer.pt/en
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University Medical Center of the Johannes Gutenberg University Mainz | Mainz, Rheinland Pfalz | Germany | 7 days ago
), is offering a fully funded PhD position in the area of statistical learning, machine learning, and survival analysis applied to large-scale proteomics and multi-omics cohort data. The PhD project