881 computer-"https:"-"APOS-UFFICIO-CONCORSI-DOCENTI" "https:" "https:" "https:" "https:" "UCL" "UCL" positions in Sweden
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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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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Post doctor within mucosal B cell immunology “The Department
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ecosystem ecology to work on the long term globally distributed WaRM experiment (for details see here: https://onlinelibrary.wiley.com/doi/10.1002/ece3.9396). The employment is fulltime for three years
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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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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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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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. More information on English language requirements can be found at: https://www.slu.se/utbildning/program-kurser/forskarutbildning/att-bli-doktorand/ Please note that applicants invited to interview must
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their potential. Join us on our journey in finding new ways to work, pioneering cutting-edge methods and bringing unexpected teams together! How to apply? Read more and apply at: https://astrazeneca.eightfold.ai
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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