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the Advanced Production Engineering (APE) research group that deals with the development, optimization and implementation of advanced production technologies and manufacture processes with emphasis on mechanical
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in their postprandial satiety effects. Dietary fibers are associated with enhanced satiety and reduced later food intake, but currently the mechanisms of how of different dietary fibers contribute
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The successful candidate should have: Master’s degree in Industrial Engineering and Management, Mechanical Engineering, Energy Systems, Control Engineering, Data Science, or a related field, with solid foundations
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inductive biases, we aim to identify key mechanisms that drive rapid learning in the visual system. The goal is to create a robust mechanistic neural network model of the visual system that not only mimics
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program to accelerate commercialization of innovative biotechnology research, and through that you can exchange ideas with other engineers and entrepreneurs. Your goal is to develop a single cell analyzer
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-mechanical side. Based on ongoing studies within the Section, you will detail the overall test bed architecture based upon engineering and high-fidelity tools. Existing tools within the Section will be used
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the mechanisms through which specific proteins regulate early transcription termination. For example, the lab is interested in ZC3H4 (part of ‘Restrictor’), which you can read about in our recent publication
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? Then consider advancing these theories with us. In this project, we aim to extend the powerful tools of statistical mechanics on graph and network models to broader applications in soft and active
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Organisation Job description Project and job description Our project will make use sensing technologies (hyperspectral cameras, NIR and Raman sensors), and an edge-compute AI pipeline to sort used
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of the Open Competition Domain Science-M programme (Twenty-one innovative research projects awarded through Open Competition Domain Science-M programme | NWO - https://www.nwo.nl/en/news/twenty-one-innovative