12 assistant-professor-computer PhD positions at Wageningen University and Research Center
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Your job Would you like to help build a more sustainable North Sea by exploring how the rapid growth of offshore wind farms (OWFs) impacts the fisheries sector? Join the Environmental Economics and
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of 8.3%; excellent pension scheme. In addition to these first-rate employee benefits, you will receive a fully funded PhD position and you will be offered a course program tailored to your needs and the
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Public Space, telephone +31623635005 or by e-mail arjan.hijdra@wur.nl or dr. Barbara Tempels, assistant professor, telephone +31639088920 or by e-mail barbara.tempels@wur.nl . Questions about the
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, willingness to assist others, are all essential competences. You also possess: a succesfully completed MSc degree in food, bio- or analytical chemistry, or in a similar field; experience with chromatographic
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, Industrial Engineering, Computer Science, or Machine Learning. Solid experience with quantitative optimization methods, including (but not limited to) mathematical programming and stochastic dynamic
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offered a course program tailored to your needs and the research team. The gross salary for the first year is € 2.901,- per month rising to € 3.707,- in the fourth year in according to the Collective
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Public Space, telephone +31623635005 or by e-mail arjan.hijdra@wur.nl or dr. Barbara Tempels, assistant professor, telephone +31639088920 or by e-mail barbara.tempels@wur.nl . Questions about the
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will be offered a course program tailored to your needs and the research team. The gross salary for the first year is € 2.901,- per month rising to € 3.707,- in the fourth year in according
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information? For more information about the position, please contact Rumyana Karlova (assistant professor PPH), rumyana.karlova@wur.nl and/or Karen Kloth (assistant professor Entomology), karen.kloth@wur.nl
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package within the core research program of CropXR. Our goal is to develop computational methods to translate integrated simulation models of plant responses to stress (drought, heat) from a model plant