871 computer "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" positions in Sweden
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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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education to enable regions to expand quickly and sustainably. In fact, the future is made here. Description of work You will be working in the laboratory of Marta Bally (https://ballylab.com/ ), in close
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than 1,800 employees and nearly 21,600 students. The Robotics and Artificial Intelligence subject, RAI, at the department of Computer Science, Electrical and Space Engineering at Luleå University
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than 1,800 employees and nearly 21,600 students. The Robotics and Artificial Intelligence subject, RAI, at the Department of Computer Science, Electrical and Space Engineering at Luleå University
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) Country Sweden Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a
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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 Description of the Research Environment The postdoctoral position forms part
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the right of priority for re-employment at Mälardalen University, please contact the Division of Human Resources. HR-avdelningen URL to this page https://web103.reachmee.com/ext/I018/1151/main?site=8
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Högskoleförordningen 5 Chapter 1-7 §§ and in the University rules http://regler.uu.se/ . The rules of the doctoral program are found in the General Curriculum of the Doctoral Program in Human Geography (Allmän
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integration into SasView. Required qualifications Ongoing university studies in physics, applied mathematics, computer science, engineering, or a related field Programming experience in Python Good
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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