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involve laboratory diagnostics, epidemiology, host–parasite interactions, zoonotic parasites, parasite control, and antiparasitic stewardship. The training programme will be tailored to ensure broad
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vessel Pelagia will allow us to investigate CaCO3 – P interactions in the field. Through controlled lab experiments, we will dive deeper into the underlying chemical and mineralogical processes
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PhD Position on Predictive Plant–Microbiome–Pathogen Interactions Faculty: Faculty of Science Department: Department of Biology Hours per week: 36 to 40 Application deadline: 1 October 2026
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Biological sciences » Biology Computer science » Informatics Computer science » Programming Researcher Profile Recognised Researcher (R2) Application Deadline 16 Oct 2026 - 21:59 (UTC) Country Netherlands Type
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and Computing Sciences, and the Plant-Microbe Interactions group external link in the Department of Biology. The research combines machine and deep learning (AI), microbiome biology, microbial genomics
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) Application Deadline 25 Sep 2026 - 21:59 (UTC) Country Netherlands Type of Contract Temporary Job Status Not Applicable Hours Per Week 40.0 Is the job funded through the EU Research Framework Programme? Not
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, Information & Computing Sciences, Physics, Chemistry and Mathematics. Together, we work on excellent research and inspiring education. We do so, driven by curiosity and supported by outstanding infrastructure
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will compute Pareto frontiers with spatial optimization algorithms. More specifically, you will: Travel to Brazil to interact with various stakeholders in land use in MATOPIBA; Translate stakeholders
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strongly relies on the interaction between wind and dune shape. Recent improvements in airflow modelling and coastal dune modelling are promising. However, getting accurate wind field predictions remains
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linked to policy questions. You will work closely with other PhDs in this network and interact regularly with the HTA policy officers at ZIN. Your work will also involve close collaboration with academic