18 postdoctoral-image-processing-in-computer-science-"Washington-University-in-St" PhD positions at Wageningen University and Research Center
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training programme on Regenerative Agriculture. The requirements to applicants is: You have: Background in soil sciences and agricultural sciences or related field; Experience in process-based modeling
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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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and Learning Sciences chair group , a vibrant group of researchers and teachers. Our core mission is to understand and facilitate the unfolding of human potential in response to global challenges. You
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of the most essential processes in soft matter science. You will work here The research is embedded within the Physical Chemistry and Soft Matter chair group. You will be directly supervised by Dr. ir. Uddalok
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, metabolism, eating behaviour and appetite regulation, and food process engineering; independence, perseverance in problem solving; the ability to quickly acquire new skills and knowledge; excellent (academic
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For this interdisciplinary and field-intensive project, we are looking for a highly motivated and skilled PhD candidate with a recent MSc degree (or equivalent) in biology, ecology, ethology, physics, or engineering, with a
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relevant field, such as Food Safety, Data Science, Food Science, Biotechnology; experience in predictive modelling and quantitative microbial risk assessment approaches; experience with relevant software
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Your job The Knowledge, Technology and Innovation chair group at Wageningen University welcomes applications for a PhD position in the EXTRA consortium ‘From EXperiment to sustainable change
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European research consortia. You will present your findings to clients and publish your results in (applied) scientific journals. Additionally, you will contribute to or lead acquisition processes. Within
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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