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Are you a researcher passionate about restoring biodiversity and ecosystem services in agroecosystems? Are you experienced in the design of reward schemes for farmers and/or the underlying policy
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of agriculture. Yet research efforts, funding opportunities and infrastructure remain fragmented across Europe. What is needed to strengthen crop breeding research and innovation in Europe? One of the most common
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within this urban context. Key Enabling Methodologies (KEMs), a collective term for groups of tools, strategies, and design methods used by researchers, policymakers, and professionals, can help to
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) environments. You will be embedded in the Department of Industrial Engineering & Innovation Sciences (IE&IS) and form the technical core of the CLARA consortium, which brings together researchers from TU/e, the
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postdoctoral researcher, you will lead the human-computer interaction side of the project. You will investigate how everyday athletes and coaches currently use tracking and feedback technologies, design and
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healthcare, technology, innovation, physics and radiochemistry? Are you looking for a challenging role where you can apply your expertise to help improve patient care? Then this is your opportunity! For a
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this project are how to do (real-time) integration of subjective and objective user data, design non-intrusive and fair motivational feedback strategies, optimisation of presenting cognitive tasks and self
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manage the current developments in employment practices, technology, demography, and organizational structures. Our research is anchored in three interconnected pillars: work design, work relationships
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the measurement and simulation strategies during the field campaigns, co-design the data management, but above all, analyse the measurement and simulation results to improve the understanding of microphysics
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design. The project is funded by an NWO (Dutch Research Council) Open Competition M grant. The successful candidate(s) will work within a well-connected international consortium, including leading academic