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Field
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scientists, linguists, musicologists, and cognitive scientists, who share a fascination with the interdisciplinary study of information. At the ILLC we combine the problem solving skills from the sciences with
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researcher level: You hold a master's degree in the field of industrial ecology, environmental sciences, process engineering, or another related field. Documented expertise (e.g., Bachelor's or Master's thesis
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records, including developing software repositories for data processing. Present your findings effectively to both academic peers and the general public. Contribute to academic excellence at Leiden
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the two countries (including observations, digital ethnography, interviewing, shadowing), data management, data analysis, theory-building, and (co)authoring academic articles for leading journals in
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associations, grid operators, technology/service providers) in the decision-making process by offering them a toolbox to explore and assess local heat solutions for PEDs. The EmPowerED project involves in total
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societal challenges while at the same time being theory-driven and contributing to a refined understanding of psychological processes in the context of work. We value collegiality, knowledge exchange, and
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to address challenges in the areas of energy, climate, mobility, health and digital society. For generations, our engineers have proven to be entrepreneurial problem-solvers, both in business and in a social
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applicants. Our selection process is based solely on competence and ability. We also offer flexible working conditions on an individual basis to promote work-life balance, which may include employment
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This position is part of the NWO KIC Smart Materials project, Smart Materials for Information Processing, in collaboration with the NanoElectronics (NE) group at the University of Twente and the
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involving key stakeholders (citizen groups, municipalities, housing associations, grid operators, technology/service providers) in the decision-making process by offering them a toolbox to explore and assess