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Jun 2025 Financing yes Type of Position Full PhD Working Language English German Required Degree Master Areas of study Automation Technology, Mechatronics, Robotics, Systems Engineering, Applied
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, and partners outside the university. We offer a PhD position in health economic evaluation, with a main focus on within-trial cost-effectiveness analysis.
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: enrol as a full-time, internal student (unless approval for part-time and/or external study is obtained) commence your degree by 1 September 2025 have a master degree or first-class honours degree with
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) degree in Computer Science or a related course. They should demonstrate aptitude for original research. Scholarship: The studentship is for 3 years and will provide an annual tax-free stipend of £21,237
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Margoni (main supervisor) and Associate Professor Lilla Magyari (co-supervisor). You will work at the Stavanger Baby and Child Lab on a research project named ‘Discovering the foundations of politics in
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of internal electoral integrity mechanisms in two or all the original three EAC Partner States - Kenya, Tanzania, and Uganda. This will include exploring how election management systems such as digital
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postgraduate programmes. At the undergraduate level, we offer a variety of courses, focusing on learning disabilities, teaching, and inclusion. At the Master's level, we teach in the Pedagogy Master’s programme
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work duties after employment. Required selection criteria You must have an academically relevant background within AI, or materials-related simulations (DFT, MD, or FEM). You must have a Master's degree
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written and oral communication skills (English). Your education must correspond to a five-year Norwegian degree program, where 120 credits are obtained at master's level. You must have a strong academic
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to obtain) a master's degree in physics, astronomy or engineering. Applicants with previous experience in observational astrophysics, strong programming skills and knowledge relating to data reduction