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The position is open for both UK home and international candidates. PhD Start date: 1 October 2025 Application deadline: 10 June 2025 For further information please email Prof. Michele Degano: michele.degano
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(BMB) at SDU. The Siersbæk group is part of the Functional Genomics and Metabolism research unit at BMB, which provides a highly international, collaborative, ambitious and innovative research
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into an international working environment We offer the opportunity to work on an interdisciplinary, cutting-edge research project related to human nutrition a challenging position in food science the opportunity to do a
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Your job Are you enthusiastic about understanding climate feedback processes in tundra ecosystems? Are you enthusiastic to conduct field- and remote sensing-based monitoring for impactful science
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | 3 months ago
high-income countries (including the UK). The project will be part of the International Max Planck Research School for Population, Health and Data Science (IMPRS-PHDS) (link ), the Centre for Population
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single PDF file to: ausschreibung09-25 at mpinat.mpg.de Max Planck Institute for Multidisciplinary Sciences Department of Theoretical and Computational Biophysics Prof. Dr. Helmut Grubmüller Am Faßberg 11
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Precambrian rocks of northern Norway. The project is within the Solid Earth Sciences, Mineral Resources and Geohazards group. The position is for a period of four years. The nominal length of the PhD programme
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placed at Groningen Institute for Evolutionary Life-Sciences, University of Groningen. Organisation Founded in 1614, the University of Groningen enjoys an international reputation as a dynamic and
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. The position is part-time, with 65% of the regular weekly working hours (currently 25.35 hours) and should be used for a doctorate. Participation in the accompanying doctoral program is compulsory. This serves
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We are looking for a doctoral candidate with a strong computational, engineering, data scientific or machine learning background that is keen to work in an interdisciplinary environment and open to