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In this position, you will join our Simulation and Data Lab for AI and Machine Learning for Remote Sensing . The lab advances interdisciplinary research and operational services by combining geoscience and remote sensing methods with AI and advanced computing technologies for Earth observation...
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, Econometrics, and Equilibrium, Expectations & Dynamics (CeNDEF). Find more information … Where to apply Website https://www.academictransfer.com/en/jobs/363541/phd-candidate-in-aidriven-flood… Requirements
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therapies emerge and precision medicine become increasingly achievable, understanding this heterogeneity is critical. This PhD will use large-scale routinely-collected healthcare data and cutting-edge
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are offering three fully-funded, 4-year PhD positions at the University of Groningen or the Technical University of Eindhoven. What are you going to do? Evolution is an all-purpose problem solver, which
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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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engineering Biological sciences » Laboratory animal science Medical sciences » Health sciences Chemistry » Biochemistry Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application
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in a PhD position at the crossroads of lab-based experimental linguistics and linguistic fieldwork, then we welcome your application! Evolution and processing of languages with late negation In
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Fatigue profoundly impacts mobility and quality of life in people with neurological disorders, yet its effects on everyday movement remain poorly understood. In this PhD project, you will combine
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. There is also a need for accounting noise in Deep Learning models and quantifying uncertainty in real-world applications. This PhD studentship (scholarship) leverages large-scale Earth Observation data
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extension for another 6 months. It is based in the Schulenburg group (https://evoecogen-kiel.de/ ). The PhD project aims at understanding how evolutionary principles can be harnessed to constrain bacterial