345 algorithm-development-"Multiple"-"Prof" "NTNU Norwegian University of Science and Technology" PhD research jobs
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, disambiguate historical agents, and contribute to collaborative scholarly outputs. You will present your findings at conferences and help shape the project’s intellectual direction and future development. This
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friendly team of interdisciplinary researchers at the Centre of Global Health Law to work across two of our flagship projects on digital health data. This is also an excellent opportunity for you to develop
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. Further information about the University can be found here The Role and Department The School of Education at Durham University is a leading centre for educational research and teacher development, with a
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About the Role Join a multi-disciplinary team that explores human intestinal development and disease using cutting edge single cell and spatial biology technologies, organoid models and
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developing next-generation antimicrobial peptide (AMP)-based solutions targeting vaginal fungal infections, particularly Recurrent Vulvovaginal Candidiasis (RVVC). The project combines microbiology, molecular
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protein-based solutions for sustainable development. Responsibilities and qualifications The overall role of the position is to lead and drive an innovative research group focused on developing cutting-edge
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management and thus to a higher overall system efficiency. This PhD research project targets the development of novel composite magnetic materials and package-embedded power magnetic core inductors based
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Evolution and Palaeoenvironmant (SHEP) is located in a lively university town with historical flair and numerous local recreational opportunities. The Senckenberg Centre for Human Evolution and
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to collaborative scholarly outputs. You will present your findings at conferences and help shape the project’s intellectual direction and future development. This is a full-time, fixed-term post for 6 months
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, with the ultimate goal being the development of forest resilience mapping. The work will combine existing forest plot and remote sensing data to assess functional diversity and resilience and apply