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Vacancies Two PhD positions in the Department of Molecules and Materials on the Development of Degradable Polymers with In-situ Optical Sensing (Part of the GroenvermogenNL HyFINE initiative) Key
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our research team in the field of mixed-signal IC design, focusing on the implementation of sense to compute paradigm. The ideal candidate will have a strong background in circuit design and experience
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with numerical modelling, preferably glacier modelling; strong programming skills (e.g., Python, MATLAB, Fortran); experience with processing large scale datasets from remote sensing products and models
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, using QUASI observations for validation and pushing the frontier of coupled modeling at submesoscales. Where, how, and with whom you’ll work Both PhDs will join the Geoscience and Remote Sensing
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seven departments: Materials Mechanics Management & Design, Engineering Structures, Geoscience and Engineering, Geoscience and Remote Sensing, Transport & Planning, Hydraulic Engineering and Water
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remote sensing, numerical modelling, and fieldwork. We recognize that no candidate will have experience in all of these areas, and we encourage you to apply if you have the following qualifications
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improvements will be compared to local and remotely sensed observations during extensive validation and sensitivity analysis. A personalised training programme will be set up, reflecting your training needs and
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of sensing, actuation, and manipulation at sub-millimetre scales. Micro-robotic systems enable highly miniaturized devices that can operate in confined anatomical environments and interact with biological
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seven departments: Materials Mechanics Management & Design, Engineering Structures, Geoscience and Engineering, Geoscience and Remote Sensing, Transport & Planning, Hydraulic Engineering and Water
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Key takeaways Minimally invasive interventions increasingly require tools capable of sensing, actuation, and manipulation at sub-millimetre scales. Micro-robotic systems enable highly miniaturized