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Vacancies Postdoc position on Data enhanced physical reduced order Models Key takeaways The position is embedded into a large-scale effort between academic groups in the Netherlands and industrial
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Research and Logistics group at Wageningen University, the Zero Hunger Lab at Tilburg University, and four industry partners. In this project, you will develop and advance optimization models and algorithms
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nature restoration, and a good revenue model for farmers. Between now and 2030, ReGeNL will start the transition to regenerative agriculture with 1000 farmers. The aim is to make regenerative agriculture
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will use computational models to explore the minimal functional requirements for self-replication to emerge from polymerising molecules. Instead of simulating specific chemistries in full detail, we will
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are looking for motivated candidates who can bridge system modelling, control and optimization with psychological theories and are confident with calculus, probability, statistics, control, and optimization. In
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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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) to develop computational models for electric breakdown of gases Job description Electric gas discharges occur in nature, most prominently in air in the form of lightning and its less visible precursors
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Faculty of Science Researchers and students at VU Amsterdam’s Faculty of Science tackle fundamental and complex scientific problems to help pave the way for a sustainable and healthy future. From forest fires to big data, from obesity to malnutrition, and from molecules to the moon: we cover the...
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In this role, you will be responsible of developing cutting-edge deep learning models for real-time image and video analysis (e.g., segmentation, object tracking, reinforcement learning), with
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learning Deep learning model generalisation techniques Translating deep learning models into clinical settings Experience developing deep learning models for real-time image/video segmentation, object