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students in the classroom, or helping shape everything that makes our education and research possible. PhD Opportunity: Engineering a Next Generation of Miniaturized In Vitro Models Our goal: Develop
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EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Quantitative MRI is a PICNIK with Physics-Informed data Consistent Neural Implicit K-space
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For more information about the position, please contact Dr. Rene Haijema, Associate professor, Rene.Haijema@wur.nl. Questions about the procedure? Get in touch with Jessa Rozema, Corporate Recruiter
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food supply chains more sustainable? If your answer is “Yes!” to these questions, then this PhD position might be the perfect opportunity for you! We are inviting applications for a 4-year full-time PhD
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fascinated by electromagnetic modeling and numerical problem solving? Do you want to contribute to the development of state-of-the-art metrology for integrated-circuit production? Information Integrated
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Royal Netherlands Academy of Arts and Sciences (KNAW); today published | Netherlands | about 14 hours ago
. This project aims to explain the driving forces behind the ageing audience by developing an age-period-cohort perspective. The project harmonizes survey data collected over long time periods, collects
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interplays that lead to lower infrastructure demand in the long run and reveal pathways to turning points in infrastructure use through a systemic modelling approach. Essential activities within your project
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this PhD project, you will fundamentally change how quantitative MRI is obtained and develop innovative AI approaches for generating quantitative MRI images from raw MRI data. This will open the way
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, to prevent the unwanted transfer of sensitive knowledge and technology. The assessment is based on information provided by the candidates themselves, such as their motivation letter and CV, and takes place at
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a PhD degree in civil engineering, data science, applied mathematics, operations research, or related fields have research expertise which comprises quantitative transport modelling, data analytics