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connections between brain, gut, and behavior. The applicant is made aware that an application for a PhD position at NMBU is at the same time an application for admission to a PhD programme at the institution
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Application deadline: 31/08/2026 This 4-year PhD studentship is fully funded by the Nuclear Decommissioning Authority (NDA) and open to Home (UK) students. The successful candidate will receive an
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within livestock environments contains a wealth of information about animal behaviour, health and emotional state, yet it remains relatively under-utilised in commercial dairy systems. This PhD will
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candidate for a fully funded PhD studentship focused on the development of next‑generation bio‑based composite materials. This exciting project is delivered in partnership with SHD Composite Materials Ltd, a
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The Faculty of Social Sciences and Solvay Business School, Department Business Technology and Operations, Research Group Data Analytics Lab is looking for a PhD-student with a doctoral grant. More
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PhD offer : Design and performance evaluation of innovative DES-based porous liquids for VOC capture
) Positions PhD Positions Application Deadline 31 May 2026 - 23:00 (Europe/Paris) Country France Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 1 Oct 2026 Is the job
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relationship with behavior. The aims of this PhD project are (i) to provide a comprehensive characterization of how visual, vestibular, and ideomotor information is integrated across different areas of the HD
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interdisciplinary research environment. Successful candidates will: Be enrolled as full-time PhD students at the University of Cyprus Conduct research within one of PHAETHON’s Research Units Have the possibility
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PhD offers an exciting opportunity to explore reservoir computing, a new approach towards artificial intelligence that uses the natural dynamic behaviour of physical systems (such as light and
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05.04.2023, Academic staff We are the Autonomous Vehicles Systems (AVS) Lab and are interested in the algorithmic foundations of path and behaviour planning, control and automated learning