889 computer-programmer-"https:"-"FEMTO-ST"-"U" "https:" "https:" "https:" "https:" "U.S" positions in Sweden
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. About the Network: GLYCOCALYX brings together 15 leading European partners in a transnational network, implementing a multidisciplinary and intersectorial research and training programme between
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; and proficiency in English. More information on English language requirements can be found at: https://www.slu.se/utbildning/program-kurser/forskarutbildning/att-bli-doktorand/ Please note that
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conditions. More information about the department is available at: https://www.umu.se/en/department-of-computing-science/ The department's research on responsible and human-centred artificial intelligence
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. Additional requirements In order to complete the doctoral programme in question, the following are also required: good ability to work independently and to formulate and tackle research problems. good written
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, through experience and skills, is deemed to have the abilities necessary for successfully completing the third cycle programme. Lund University is a public authority which means that employees get
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Scientist to improve the data analysis experience within the MAX IV computing environments. The successful candidate will contribute to developing and supporting the overall software ecosystem for data
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for the employment of teachers and the appointment of associate professors at Blekinge Institute of Technology,” under the section "Instructions to applicants" available at https://www.bth.se/english/about-bth/work
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Do you want to work on enabling groundbreaking, data-driven Life Science
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: Västerås School: Department of Computer Science & Engineering Position description The purpose of the position is to give the employee an early opportunity to develop his or her independence as a researcher
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Information Science (GIS), and computational science for health and environment, to study processes spanning from the microscopic to the planetary, across all time scales. The Inverse Modelling group at the Department