289 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "University of St" "St" uni jobs in Denmark
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to assess and interpret data from experiments, with the ability to identify trends, troubleshoot issues, and optimize processes. Experience in critical evaluation and troubleshooting of both process
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Job Description The University of Southern Denmark in Odense is looking for a student in computer science / data science / mathematics or comparable fields to assist us in development work for our
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channels to showcase success stories and opportunities. Team and administrative support: As part of the External Relations Team, contribute to shared tasks such as onboarding new staff, cost modelling, data
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additional information about the position above, please contact Associate Professor Jan Żylicz, Jan.Zylicz@sund.ku.dk Qualifications A Master´s or Bachelor’s degree or equivalent in a biological sciences
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online application no later than 15 March 2026. Open the “Apply now” link, fill out the form and attach your motivated application, CV and exam certificates. If you would like additional information about
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leading department of a highly reputed technical university, supporting cutting-edge research with robust, sustainable software and data solutions? Are you visionary and excited about developing a new
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Faculty position in Molecular Health (Tenure-Track Assistant Professor / Associate Professor) at ...
employment is Aarhus University with related departments. Contact information For further information, please contact: Head of Department, Claus Oxvig. Phone number: +45 30362460 Email: co@mbg.au.dk Deadline
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authorities, and the other DeiC departments working with quantum computing and data management. We help facilitate Danish researchers’ access to the LUMI supercomputer, which ranks in the Top 10 fastest in
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will find contact persons at the bottom of the jobpost. Further information Read more about our recruitment process here The appointment process at Aalborg University involves a shortlisting process. You
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are in part funded by a DFF: Sapere Aude project (“Building TRUST in Text: Linguistically Motivated Language Model Detection”) and an NNF: Ascending Data Science Investigator project (“LM2-SEC