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actions. 2. Policy recommendations for retrofit programs specifically designed to empower marginalized communities, ensuring equitable access to subsidies and resources. 3. A database of neighborhood
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trading decisions under high price volatility. This PhD position focuses on designing, developing, and evaluating self-learning energy trading algorithms that are able to cope with these challenges. By
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governments. As the majority of the symmetric primitives, they are designed to naturally operate over bits, in order to maximize their performances in Software and Hardware implementations. At the current state
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social innovations (e.g., community workshops) to engage marginalized households in retrofitting actions. 2. Policy recommendations for retrofit programs specifically designed to empower marginalized
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, and internal lab meetings; contribute to the design of experiments and perform experiments in the lab; perform preclinical mouse experiments in vivo and analyse and interpret results of the experiments
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, including EEG. You will design and optimize experimental tasks, collect and analyze behavioral and neural data, and adapt computational models to capture variability between individuals. What you will be
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Your job The Knowledge, Technology and Innovation chair group at Wageningen University welcomes applications for a PhD position in the EXTRA consortium ‘From EXperiment to sustainable change
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knowledge of the field through literature survey, discussion with team members, and internal lab meetings; contribute to the design of experiments and perform experiments in the lab; perform preclinical mouse
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learning skills. - First experiences in designing and conducting behavioural experiments desirable. - Very good written and verbal communication skills in English. Additional Information Benefits We offer
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Description Do you want to creatively design polymers and coatings for cutting-edge energy applications? Are you motivated by the challenge of advancing emission-free transport? Do you thrive in a