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eligible for the 30%-ruling if you meet the requirements of the Belastingdienst (Dutch tax agency), and with our Dual Career Programme we will also help your partner find the right job for them. Employer
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access to world-class laboratories like Geolab external link and Earth Simulation Lab external link , and to excellent high-performance computing facilities. We are a lively department that hosts
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.); computational skills to analyse social media data (e.g., with Natural Language Processing, LLMs), and/or a strong motivation to learn these skills; excellent oral and written command of Dutch and English
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-year PhD program, you will join a collaborative research team applying cutting-edge methods from Experimental/Behavioral Economics alongside modern macroeconomic modelling techniques (e.g. DSGE). You'll
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- Wageningen University & Research ) and Dr. Karen Kloth ( Karen Kloth - Wageningen University & Research ). Your project is part of the MiCRop Consortium programme on microbial imprinting of crop resilience
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The PhD position is embedded in the research programme of Economics, Econometrics & Finance of FEB’s Research Institute. The project will be supervised by dr. J.A.M. de Grefte, prof. dr. B.P. de Bruin and
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for your job with EUR? Then you may be eligible for the 30%-ruling if you meet the requirements of the Belastingdienst (Dutch tax agency), and with our Dual Career Programme we will also help your partner
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://research.wur.nl/en/persons/rieta-gols ) and Dr. Karen Kloth (https://research.wur.nl/en/persons/karen-kloth). Your project is embedded in the MiCRop Consortium programme on microbial imprinting of crop resilience
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embedded in the MiCRop Consortium programme on microbial imprinting of crop resilience to (a)biotic stresses (https://www.microp.org). Within MiCRop, you will receive training and scientific exposure
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(spoken and written). Preferred qualifications Prior experience with 3D cell culture, organoids, CRISPR-Cas9, or imaging-based phenotyping. Familiarity with transcriptomics or basic computational biology (R