189 data-"https:"-"https:"-"https:"-"https:"-"https:"-"Newcastle-University" positions in Sweden
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detail-oriented attitude, good organization skills and team-spirited attitude an ability to support grant applications and paper writing especially in generating high quality figures Further information
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Lund University employee Work at Lund University . Further information The position is a fixed term position for the period March 23 – May 29, 2026, at between 5-30 per cent of full time by agreement
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within the department, and how they stand to contribute to its future development. Further information The position is a temporary, fixed-term position for a maximum of 6 months at 100 per cent of full
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, Germany and Australia, involving around 100 additional developers and researchers working with the model. More information Requirements: Master’s degree in a natural science or technical field (e.g
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total of approximately 1,400 employees and 17,700 students spread across two inspiring campus environments in Karlstad and Arvika. More information at: kau.se/en/work-with-us Description The Faculty
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with good employment conditions. More information about the department is available at: Department of Computing Science . Project description Machine learning is a key technique in many research and
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information to trade union representatives can be found at KTH's web page . Application Your application should follow KTH's CV template for employment of teachers . It is the responsibility of the applicant
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project is connected to the department’s research and supervisors. You will find more information about the doctoral training program here . As a PhD student, you formulate your own research plan in English
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total of approximately 1,400 employees and 17,700 students spread across two inspiring campus environments in Karlstad and Arvika. More information at: kau.se/en/work-with-us Background The Faculty
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cutting-edge, high-density data-driven research that impacts academia, industry, and policy worldwide. About the Programme Fellowship: each participant will benefit from a 36-month postdoctoral training