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Helmholtz Association of German Research Centres | Geesthacht, Schleswig-Holstein | Germany | 2 months ago
Employment - Hours Full time Duration Fixed term Qualification PhD Sector Academia Apply on website (This will open in a new window from which you will be automatically redirected to an external site
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modelling, joining a multidisciplinary research environment spanning Queen Mary’s Innovation and, PHURI, with external collaboration opportunities through the National Heart and Lung Institute (NHLI
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to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR7288-AMBGUA-024/Default.aspx Requirements Research Field Biological sciences Education Level PhD or equivalent Languages FRENCH Level Basic
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Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 30 Sep 2026 - 23:59 (Europe/Berlin) Country Germany Type of Contract Temporary Job Status Full-time Hours
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PhD (or equivalent) in fungal, soil or plant ecology, and experience of field- and/or laboratory-based research Specialist knowledge on plant:soil interactions and fungal ecology Ability to travel to
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written communication skills in English English requirements for applicants from outside of EU/ EEA countries and exemptions from the requirements: https://www.mn.uio.no/english/research/phd/regulations
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), which in practice is often reactive or based on fixed schedules, despite large spatial and temporal variability in sediment accumulation. This PhD project is part of a larger interdisciplinary research
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degree/PhD in biology (or equivalent) Experience in the fields of Invasion Science, Vegetation Science, Global Change Science and/or Macroecology Experience in studying biodiversity patterns across spatial
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University of Amsterdam (UvA) | Amsterdam, Provincie Noord-Holland | Netherlands | about 2 months ago
addresses of two references who can provide letters of recommendation. Only complete applications received within the … Where to apply Website https://www.academictransfer.com/en/jobs/363488/phd-in
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statistical modelling approaches. Beyond this research focus, the Division has a strong complementary background on using local scale community data such as vegetation plot data (e.g. EVA, https