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Field
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project focuses on developing probabilistic latent-variable methods for large and structured biological data, with applications in genomics, spatial transcriptomics, and fluorescence imaging. High
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and large models, limiting real-world deployment. This PhD focuses on efficient Physical AI, emphasising data-efficient training, reinforcement learning, continual adaptation and edge deployment
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11 Aug 2026 Job Information Organisation/Company Centre de Recerca en Agrigenòmica Research Field Biological sciences Researcher Profile First Stage Researcher (R1) Positions PhD Positions
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The salary of PhD students is determined according to a locally negotiated salary progression. More information about employment benefits at Linköping University is available here. Union representatives
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for applications: 30th September 2026 Interviews will be held on 21st October 2026 The candidate must be in a position to register by January 2027 Project overview This fully funded PhD studentship, supported by
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of both oral and written English LanguagesNORWEGIANLevelGood Research FieldSociology » Other Additional Information Benefits a PhD education in a large, exciting and societally important organisation
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the future? PhD research fellow in Green syngas from biomass waste gasification with CO2 capture Apply for this job See advertisement Welcome to USN The University of Southeastern Norway (USN) ranks as the
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Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | about 1 month ago
. Knowledge of Large Language Models, agentic AI, privacy-enhancing technologies, or information-flow analysis is a plus. Interest in experimental research, system implementation and rigorous evaluation. Good
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PhD position in Experimental Physics with focus on photonics and materials science (applied aspects)
is close. Our cohesive campuses make it easy to meet, work together and exchange knowledge, which promotes a dynamic and open culture. The ongoing societal transformation and large green investments in
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of large volcanic landslides. We are looking for someone with a PhD in geophysical mass flows or granular physics, strong scientific programming skills, field experience on debris avalanches or comparable