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PhD Studentship: Hydro-geomorphic Impacts of the Return of the Beaver, Fully-funded MSc by Research.
to calibrate national datasets built through 2 (field and computer-based, months 12-18). Publish a paper describing the extent to which beavers change hydrology and geomorphology (desk-based, months 18-24
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | about 2 months ago
a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Area of research: PHD Thesis Part-Time Suitability: The position is suitable for part-time
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We have several PhD, Research Assistant (RA) and master research thesis’s opportunities available in areas such as Multimodal Large Language Models (MLLM) for human understanding, MLLM safety, and
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experimental studies with healthy volunteers using psychophysical methods, psychophysiological measurements, mathematical modelling, and machine learning approaches. RESPONSIBILITIES: Participate in
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will be excellent teachers and scholars, with the potential to make a significant contribution to scholarship within the area of legal education or the Scholarship of Learning and Teaching. They will
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Research Infrastructure? No Offer Description A call is open for applications for 1 Research Grant for a Master’s Degree holder, enrolled in a PhD programme / courses that do not confer an academic degree
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. Provides initial project consultations, refers complex research requests to appropriate divisional subject experts, and develops foundational synchronous and asynchronous learning objects. Partners with
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%) doctoral scholarship student in the field of electrochemical engineering. Position You will work actively on the preparation and defence of a PhD thesis in the field of electrode and reactor engineering
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The School of Human and Health Sciences offers various scholarship opportunities for MSc by Research and PhD. These are for UK applicants only and for the January 2027 start. All scholarships
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of ecosystem degradation and the aforementioned extreme climatic phenomena; (v) explore a “Machine Learning” analysis to explore the importance of other environmental and managerial factors in the spatial and