63 parallel-computing-numerical-methods-"DTU" positions at Wageningen University and Research Center
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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 Labour Agreements
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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
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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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this diversity came about during billions of years of evolution. To do this, we employ a variety of approaches, including cultivation-independent methods (e.g. metagenomics, comparative genomics, phylogenomics
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the DROPapp by integrating local and scientific knowledge. In this project, you will integrate the local forecasts based on observed local ecological indicators and scientific forecasts based on numerical
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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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! 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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, conventional methods for in-situ data collection—typically involving manual interpretation of high-resolution satellite imagery via 2D web-based interfaces—can be time-consuming and prone to interpretation
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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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administration (MBA), or willingness to obtain it (training costs covered by us). Extensive knowledge and experience in managing within the fisheries sector. Strong numerical skills, experience with digital