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are looking for a person with a relevant degree (e.g. health economics, economics, statistics, data science, public health science). Are you passionate about contributing to a groundbreaking interdisciplinary
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candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules
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information about the PhD programme at the Faculty of Science can be found at the homepage of the University . The University wishes our staff to reflect the diversity of society and thus welcomes applications
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- Coatings Science and Technology Centre you will break new ground at the absolute forefront of what is possible with the aim of improving the sustainability profile of organic heavy-duty coatings. Our
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to develop new sustainable methods for control of plant pathogenic bacteria. You have a background in either microbiology, molecular microbiology or in plant science with an interest in plant-microbe
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forefront of protein science and biophysics—tackling the molecular origins of neurodegenerative diseases of the brain. The overall aim of the research is to achieve a deep understanding of how protein
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. The department conducts research, development and scientific advice to society, and provides educational programs. We work to develop new environmentally friendly and sustainable technologies, methods and
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candidate should hold a Master's degree in either Data Science, Applied Mathematics, Business Administration and Economics or a related field with strong programming skills, particularly in Python. Priority
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DTU Tenure Track Researcher in Nutrition, Sustainability and Health Promotion with a focus on Sus...
The position is part of DTU’s Tenure Track program. We provide you with the best conditions including a mentor, state-of-the-art research infrastructure, teacher training and relevant networks
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., linear algebra, statistics, optimization, and calculus) is expected, along with programming experience using deep learning frameworks in Python (e.g., PyTorch). While prior knowledge of machine learning