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regularly with your supervisors and other team members, and also be encouraged to develop and explore your own ideas. Furthermore, you will collaborate closely with local and international colleagues working
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for local production, efficient resource use, and a high degree of mechanization. At the same time, the sector faces significant challenges, including labor shortages and increasing complexity in crop
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(e.g., walking, cycling) related physical activity; finetuning, evaluating, and improving model performance using local data and ensuring explainability, fairness, and robustness of the model outputs
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communicating between local activities and the wider Your team You will work directly with Dr Jessica Duncan. More broadly, you will be embedded in the FARMHEROES project, funded under Horizon Europe. You will
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scratch, the ambition is to connect and weave together existing communities, NGOs, and local entrepreneurs active in and around the CARDIMED DEMO sites into a "community of communities" — a trans-local
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low-power mixed-signal ICs for large sensor arrays. Your work may include low-noise analogue front-ends, high-resolution and energy-efficient ADCs, and local data processing and multiplexing. You will
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that could provide local flexibility, support charging infrastructure, and enable new forms of distributed energy storage. Furthermore, growing numbers of electric bus and In-Motion Charging (IMC) batteries
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for trolleybuses and electric public transport. These networks represent a largely untapped energy asset that could provide local flexibility, support charging infrastructure, and enable new forms of distributed
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the study of vegetation and land use dynamics from local to global scales. Within the Remote Sensing group, we use a combination of advanced methods and modelling approaches applied to the full range
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MSc students affiliated with the project at WUR and the University of Diffa. Participate in capacity-building workshops for local stakeholders — including training in the Eight Question Method (8QM) and