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quantitative and qualitative methods to generate systematic knowledge about business-government relations and international business relations. To learn more about the research and education of the department
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often related to domesticated species and humans, but increasingly also on other organisms. Our focus areas include quantitative genetics, deep learning, machine learning, population genetics, integrative
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mentor for social entrepreneurship education. We are developing a customised GPT (Generative Pre-trained Transformer) mentor integrated into the Seismic APP, a digital platform supporting student learning
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Business and Politics, and International Business in Asia. To learn more about the research and teaching activities of the department, please visit the departmental websitehere These are non-exhaustive
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track record of fundraising for non-profit organizations, a deep understanding of the fundraising landscape, and excellent communication, relations, and negotiation skills. Who are we DTU Skylab is the
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CV. Closing date: 8 August 2025. Apply online WE TRANSFORM SOCIETY WITH BUSINESS CBS is a globally recognised business school with deep roots in the Nordic socio-economic model. Our faculty has a broad
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Applicants should hold a relevant MSc degree in electronics, electrical engineering, computer engineering, or related fields. Required Qualification: Solid background in digital CMOS design and deep learning
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: You will be responsible for the sensor system and the perception algorithms of an autonomous mobile robot. You will engage in research around deep learning and 2D/3D computer vision for a well-defined
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DTU Tenure Track Assistant Professor in Nutrient-Focused Processing in Ultra-Processed Food Syste...
properties of food, particularly ultra-processed foods. Experience with machine learning (e.g. deep learning), and computational modelling applied to food science and nutrition. A demonstrated ability to
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robust models – and for clinicians, whose goal is to determine when to trust the models. We therefore seek candidates who have strong technical background in working with large-scale deep learning models