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are particularly suitable for a PhD education. You must meet the requirements for admission to the doctoral program from the Faculty of Engineering (https://www.ntnu.edu/studies/phiv ) You must be
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information are provided here: https://www.eu4greenfielddata.eu/phd-positions-application/list-of-phds Deadline: 15th April 2026 Where to apply Website https://www.eu4greenfielddata.eu/phd-positions-application
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20 Feb 2026 Job Information Organisation/Company Centrale Supelec Department L2S Research Field Engineering » Communication engineering Researcher Profile First Stage Researcher (R1) Positions PhD
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, the Cluster of Excellence REC² offers, subject to the availability of resources, a full-time position as Research Associate / PhD Student (m/f/x) (subject to personal qualification employees are remunerated
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LMU Munich. The group is located within the Institute of Clinical Neuroimmunology (https://www.neuroimmunology-munich.de/ ). The professorship of Systems Neuroimmunology is part of the Cluster
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Europeia ID - Association for Research in Design, Marketing and Communication | Portugal | about 2 months ago
to the work plan; d) Proposed scientific project or plan (maximum 5 pages) aligned with the strategic priorities of UNIDCOM/IADE as defined in the UNIDCOM/IADE clusters (https://www.unidcom-iade.pt/centre/ ); e
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PhD Positions Application Deadline 11 Feb 2026 - 23:59 (Europe/Vienna) Country Austria Type of Contract Temporary Job Status Part-time Hours Per Week 30 Offer Starting Date 1 Apr 2026 Is the job funded
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6 Jan 2026 Job Information Organisation/Company DIM QuanTiP Research Field Physics Engineering Computer science Chemistry Mathematics Researcher Profile First Stage Researcher (R1) Positions PhD
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» Programming Engineering » Computer engineering Computer science Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 26 Apr 2026 - 23:59 (Europe/Oslo) Country Norway Type
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the reference number 27697, via our online portal: Apply now via https://jobs.uksh.de/job/Kiel-PhD-%28mfd%29-Statistical-Genetics-Machine-Learning-Schl-24105/1279933701/ For more information visit: www.uksh.de