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demand, hindering scale-up. Information This project will be executed together with company Exergy within the EKKO Circular Plastics project. The PD researcher will develop and validate an AI-enhanced
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PhD Candidate: Modulating plant-based nutrition to enhance the sensory aspects and nutritional value
space to shape your work independently and develop your ideas. A close-knit community of colleagues to collaborate and grow with. A solid pension plan via ABP, company fitness schemes, and access
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or more-than-human research methods and evocative and creative forms of writing. You will contribute to the development of conceptual approaches to geological anthropology. You will actively participate in
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November 2026. Where to apply Website https://www.academictransfer.com/en/jobs/362992/phd-olfactory-training-for-cogn… Requirements Specific Requirements You hold a Master's degree in one of the following
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together researchers from TU/e, the University of Twente, and Maastricht University. Working closely with a PhD candidate and the project's supervisory team, you will design, train, and iteratively refine
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from their research, the candidate will be expected to develop and teach courses related to interpersonal violence in the minor Violence Studies, in the master Crisis and Security Management and (where
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modelling and infectious disease and public health data. Additional duties include developing teaching material, delivering selected teaching activities, and supervising or mentoring fellows working
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are developing technology to robotically manufacture robust optical circuits for quantum technology and beyond. We provided the circuit boards for the AQuRA optical lattice clock and are offering
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on electrostatic interactions, fluid dynamics and machine design to develop a scalable process that has a technology readiness level of 6. You will focus on separation efficiency in terms of yield, purity and energy
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PhD candidate you will develop new ways to extract cosmic-ray physics from KM3NeT data. You will design and characterise reconstruction methods—both machine-learning-based and traditional