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score) both for the programme in total and the master’s thesis. The grades at the qualifying MSc examination needs to be B or better (ECTS scale from A-E) to be admitted to the PhD program. See admission
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interaction between galaxy formation and evolution and cosmic web environment. The PhD project will be supervised by Prof. Elmo Tempel (Tartu Observatory) and Prof. Rien van de Weygaert (Kapteyn Astronomical
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and Wallenberg National Program for Data-Driven Life Science (DDLS) aims to recruit and train the next generation of data-driven life scientists and to create globally leading computational and data
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to develop a user-friendly web-based platform that integrates Loughborough's in-house High-Performance Integrated hydrodynamic Modelling System (HiPIMS) with various high-quality open-source datasets covering
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is internally funded by NMBU and is linked to the ForestFeed project, which is part of the Bioeconomy in the North program. This exciting PhD opportunity is at the forefront of sustainable aquaculture
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an experienced supervisory team with internationally recognised expertise in stroke rehabilitation science and user-centred intervention design, to develop a programme of study to address these aims. At all stages
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to develop own ideas for new research. Initial possibilities for research projects include: Studying environmental impacts of AI tools expected to become prominent in research in coming years. Taking a global
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compensation packages to attract and retain top talent. Benefits Rutgers offers a comprehensive benefit program to eligible employees. For details, please go to http://uhr.rutgers.edu/benefits/benefits-overview
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acquisition of a range of environmental and operational data in the digitisation of food manufacturing processes for processing using applied AI techniques. We anticipate the successful applicant will develop
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until 12 noon GMT on Monday 19th May 2025. The Programme Our PhD in Safe AI takes a unique and purposeful approach. PhD researchers with different backgrounds and experiences will train together