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restraint conditions. A key goal is to develop both a sensor system and a prediction model for the short- and long-term deformation behaviour of concrete. These tools will be applied to full-scale structural
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protocols and generation of data, we can offer a challenging job in a dynamic research environment. The successful applicant will be placed in the research unit Ruminant Nutrition: https://anivet.au.dk/en
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physically measured data to enhance the understanding of initiation of microcracks during glass cutting in the production environment. The different stress states and their influence on crack opening will be
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of renewable energy. Responsibilities and qualifications Your overall focus will be to advance the field of renewable power system dynamics through innovative machine learning solutions. You will work closely
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-tasks and language models. This position is part of SDU’s initiative to develop energy-efficient AI accelerators based on alternative model architectures that cannot be leveraged as efficiently
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and physical synthesis techniques, along with advanced structural characterization tools, will be employed to achieve this goal. Your primary responsibilities will include: Synthesizing electrocatalysts
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funding affect the subsequent performance of firms and scientists, in terms of outputs such as the number of papers, products, patents, etc. (Can an optimal applicant template be developed by training
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the graduation class for the study programme. List of publications and maximum 2 examples of relevant publications (in case you have any publications). References may be included, you're welcome to use the form
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for the PhD degree is subject to academic approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning
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organization in unprecedented detail. These datasets will be integrated with genetic profiling and mechanistic follow-up studies to uncover how specific cellular states, transcriptional programs, and genetic