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leading scientists across Austria in an interdisciplinary environment spanning explainable AI, causality, knowledge representation, and neural networks. Research (90%) research in probabilistic machine
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are offering you the chance to actively help in shaping the change! We support you in your work with: • ENVIRONMENT: World class science environment at the interface between neuroscience and digital
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Your Job: This work will be part of the project "Role of root mucilage in water and phosphorus uptake in semi-arid environment: Bridging the gap from theories on the pore scale to emergent behaviour
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PhD offer : Design and performance evaluation of innovative DES-based porous liquids for VOC capture
to work in a multicultural environment (the project involves a collaboration between France and Taiwan). Location Jointly supervised by ULCO (Dunkirk), UCA (Clermont-Ferrand) and ENS Lyon Where to apply E
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to environmental change. The role will focus on generating high-quality data to inform and validate modelling work within a NERC-funded interdisciplinary project. The NERC-funded project develops a new development
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20 Apr 2026 Job Information Organisation/Company Universidade de Vigo Department T06 Natural Resources and Environmental Engineering Research Field Engineering » Other Researcher Profile Recognised
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ability to manage multiple tasks simultaneously. About us SLU Department of Plant Breeding performs research and education addressing global challenges affecting our livelihoods and the environment
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for professional and personal development Safe and stable working environment Company pension funds We offer an annual gross salary of at least € 52,865.40 for a fulltime position. An overpayment based
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Workplace Health Management Top research infrastructure and access to the latest technologies Exciting opportunities for professional and personal development Safe and stable working environment Company
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 22 hours ago
in environmental or territorial studies. Preference will be given to candidates with aptitude for working in disaster risk management environments supported with GIS and Machine Learning, basic