68 parallel-and-distributed-computing-"Multiple" positions at University of Bergen in Norway
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confirming receipt of your application. Please note that the automatic recognition offered by HK-dir is insufficient and will not be accepted as basis for admission to the PhD programme. Applicants with
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equivalent degree in Information Science, Computer Science, or Artificial Intelligence. They must have submitted their doctoral thesis for assessment before the application deadline. It is a condition of
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to innovations with real-world impact. Qualifications and personal qualities: The applicant must hold a Norwegian PhD or an equivalent degree within information or computer science, computational social science or
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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 UiB - Knowledge that shapes society UiB shall be among Europe's
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tool in such applications, but the computational cost of producing ensembles at high enough resolution and with enough members to adequately sample internal variability and capture rare events is a
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description UiB - Knowledge that shapes society Through robust and
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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 UiB - Knowledge that shapes society Through robust and close
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. One of these should be the main advisor from the PhD programme. CV list of any works of a scientific nature (publication list). transcripts and diplomas. If you have not yet completed your PhD degree
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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 UiB - Knowledge that shapes society Through robust and close
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tool in such applications, but the computational cost of producing ensembles at high enough resolution and with enough members to adequately sample internal variability and capture rare events is a