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to be evaluated. All applicants will be notified whether or not their applications have been sent to an expert assessment committee for evaluation. The selected applicants will be informed about the
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-collaboration-hac ), an ambitious and supportive research environment in which we design and evaluate interactive systems that extend human cognitive, affective, and collaborative capabilities in digital
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evaluating computational models. The opportunity to be part of an ambitious research programme connecting computational cognitive and behavioural modelling with consumer research and sustainability policy
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publications is not sufficient. As a result, applications without submitted publications will not be assessed.) The application must be submitted in English. The research activities will be evaluated in relation
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metagenomics from various field experiments, evaluation of microbially mediated regulation of soil carbon fractions, and development of a model that simulates the growth of key soil microbial communities related
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Postdoctoral Researcher in Ability-Based Tailoring of Interactive Devices at Department of Comput...
. The role You will contribute to the design and implementation of the ABLE platform, including software development, possibly some hardware prototyping, and evaluation with users. A key focus will be
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. The role You will contribute to the design and implementation of the ABLE platform, including software development, possibly some hardware prototyping, and evaluation with users. A key focus will be
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positioning. The project is expected to generate high-quality research on how consumers evaluate novel fermented plant-based foods and how consumer insights can inform product refinement, communication
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electrolyzers with renewable generation, power conversion, storage, downstream processes, and hydrogen demand. Apply and evaluate these methods under technical constraints and varying renewable generation
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methods for approaches such as model-data fusion techniques. The main focus of your position will be to develop and apply a scalable process-based modeling framework to evaluate climate-smart management