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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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variability. In this PhD project, you will develop and apply cutting-edge analytical chemistry techniques to tackle this challenge. Using both targeted and non-targeted liquid chromatography–mass spectrometry
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. You will work here The project is a part of Open Technology grant for our proposal COre-based PYrrolizydine alkaloid synthesis for Contaminant Annotation and Tracking ( COPY-CAT ). The research is
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possess: A successfully completed (or about to be completed) MSc degree in Spatial Planning or a related field, such as Public Policy, Environmental Sciences or Social Sciences; Demonstrated affinity with
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. This way, you can contribute to advancing the field of visual detection techniques. Your qualities You have: an academic degree in biology or plant biology; demonstrable experience with visual and
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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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agriculture to function well within the landscape. In this PhD, existing monitoring network data and locally collected field data will be available for the modelling work, in addition to freely available
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curious scientist? Then this position may be ideal for you. In the group of Physics and Physical Chemistry of Foods , we are looking for an enthusiastic candidate for a four-year PhD trajectory on a project