11 finite-element-methods PhD positions at Wageningen University and Research Center in Netherlands
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practices on various landscape aspects and conversely the conditions of the landscape for successful regenerative farming. Landscape aspects include soil health, natural elements, biodiversity and water
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co-design adapted and new methods to enhance reflection and learning in and adaptive capacity of learning-oriented experiments. The intended start date of your employment is 1 November 2025 and the
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interdisciplinary research. In addition, you possess: a completed MSc degree in economics, environmental science, or a related field; a solid foundation in applied quantitative methods (e.g., econometrics, spatial
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that field. Your most important activities in this position will be: Developing, improving and harmonising LCA methods, databases and tools to measure environmental impacts in projects in which clients
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optimization models and algorithms to address the above questions. Given the uncertainties involved in food supply chains, we prefer candidates who have a background in (stochastic) optimization methods (e.g
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! We have a vacancy for a Researcher animal health and natural ingredients (24 – 32 hours a week). Our projects involve developing and improving analytical methods for growth promotors and veterinary
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responsibilities include: gain a deeper understanding of pectin structures in tomatoes and related endogenous enzymes, resulting in a PhD-thesis; set-up a (semi-) high throughput chromatographic method to map pectin
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), sustainable, and climate-adaptive crops. By combining plant biology, simulation modelling, and artificial intelligence we aim to develop smart breeding and cultivation methods. Thus, we try to speed up
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(LC-MS), you will explore the occurrence, diversity, and transformation of PAs in food matrices. Your research will involve: developing sensitive and selective LC-MS methods using deuterated internal
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-spectroscopy, and (extensional) rheology will be used to quantify different structure characteristics, ingredient and water distribution, and textural properties. The gained knowledge will be used to provide