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? The NWA-ORC funded consortium project ABEL addresses this challenge by combining technology development with process modelling and assessment across the waste value chain. The members of the consortium
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learning paradigms. The framework will support rapid prototyping, automated design-space exploration, and cross-technology benchmarking, providing new insights into the co-design of learning algorithms
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of Food Chemistry and the laboratory of Food Process Engineering , where you will be part of a dynamic and international groups of scientists. You will be part of the flavor chemistry team in Food Chemistry
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wearable technology contribute to the reduction of coercion, and when might it create new ethical concerns? What practical ethical dilemmas arise when physiological data are used in clinical teams
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material technologies. As a PhD candidate, you will join the Materialising Futures section within the Faculty of Industrial Design Engineering at TU Delft. Your project will build upon internationally
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institutions and several industrial partners with extensive expertise in quantitative imaging, image analysis and imaging technology. By conducting research in both academic and industrial settings, PhD
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institutions and several industrial partners with extensive expertise in quantitative imaging, image analysis and imaging technology. By conducting research in both academic and industrial settings, PhD
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engineering, physics, materials science or a related area. Experience with modeling, experiments and design. Team players with good communication skills. Creative, independent and self-motivated. with
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cutting-edge physiological measurements, motion analysis and wearable technology to uncover how fatigue shapes mobility in daily life. This PhD project investigates how fatigue affects gait, balance and
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metals and physical metallurgy. Applicant must: hold an MSc-degree in the field of materials science or related disciplines, such as solid-state physics or materials engineering, with a solid background in