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streams—including data streaming to cloud databases, scientific visualization, and integration of machine learning workflows. Development of additional modules within commercial FE software (ABAQUS, MSC
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methodologies in machine learning and causal inference applied to human health. Read more about NCRR here . Your job responsibility With a motivated, interdisciplinary team of approximately 70 researchers and
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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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including postdocs, PhD, MSc and undergraduatestudents. Our research focuses on thegene regulatory networks that control the development and plasticity of fat cells. Furthermore, we are investigating
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collaborations Teach and supervise in multiple BEng - and part time diploma-programmes within the above-mentioned fields If associate professor, supervise PhD students; if assistant professor, co-supervise PhD
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teaching environment, to provide excellent education, supervise bachelor's, master's and PhD level students, as well as to contribute to the development of junior faculty research to high international
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the opportunity to shape our educational programme to benefit from new developments in pedagogical approaches and content. We expect The candidates must have a PhD degree in algebra, algebraic geometry
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research and education. We are located at Frederiksberg and have approximately 20,000 full and part-time students, 800 full-time faculty members, 200 PhD students and 700 administrative staff, and a full
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-track research plan, including both research and teaching career goals. Your Competencies We seek an ambitious early-career scientist with a PhD in computer science, statistics, mathematics, engineering
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with statistical and numerical analysis methods as applicable to strain design problems is a distinct advantage. Familiarity with machine learning tools such as PyTorch, HuggingFace transformers and