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. The research at BUILD is rooted in the field of engineering, but it also contains important and comprehensive elements from the social sciences and the humanities. The position is available in the Universal
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topics, the associate professor will refer to the Head of Research within the Department of Oncology, Professor, Chief Physician Henrik Ditzel DMSc. As concerns staff topics, the employee will refer to
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full-time staff. The section includes 12 diverse labs, ranging from a Chemical Lab to a Metal Workshop. Our culture is informal and ambitious; we value creativity, curiosity, and collaboration, embrace
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the field of mechanical properties of glasses. The brittleness and low fracture toughness of various glass materials, including oxide and metal-organic framework glasses, remains to be their main disadvantage
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biochemistry, immunology and pharma technology activities, by developing and supporting new pedagogical teaching elements and by integration of new research activities into the curriculum of the existing and
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of people, easily engaging in conversations, and working in a structured and detail-oriented way. Good English skills is an essential element in this position. You will be employed at SAMF-Educational
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. Your competences You are a medical doctor and a qualified neurologist with specialization in movement disorders. You have established yourself as a prominent clinical researcher within Parkinson’s
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position runs from 1 December 2025 to 30 June 2026. As a student assistant for communication, your job will be to write engaging posts for LinkedIn and websites affiliated with CHC projects and partnerships
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DTU Tenure Track Assistant Professor in Nutrient-Focused Processing in Ultra-Processed Food Syste...
, bioactive compounds, and other key nutrients. Develop and apply machine learning and modeling techniques to analyse, predict, and optimize the effects of processing on food composition, food Ingredient
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for Humanities Computing, Aarhus University, focusing on investigating and developing NLP and AI technologies. Our research areas include model evaluation and post-training, representation learning, and the