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on paper writing, networking and career development after the PhD. The Faculty has outstanding facilities and works in partnership with leading industrial partners.
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Research - Communication (Level 2) Research - Creative thinking (Level 2) Research - Initiative (Level 2) Research - Networking (Level 2) Research - Results orientation (Level 2) Research - Teamwork (Level 2
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, and teamwork. You will have a great opportunity to build strong networks with internationally known researchers at DTU and other universities as well as leading industrial partners. As a PhD candidate
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methods for analyses of large-scale genomic data such as genome-wide analyses, polygenic prediction, Mendelian randomization, functional bioinformatical follow up and network analysis. The project will
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skills in one or more languages (Python, C/C++, or others) experience in mechanical testing profound knowledge of machine learning methods (e.g., neural networks, Gaussian processes, active learning
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partner universities and networks to promote international collaboration. The Faculty of Science and Engineering (FSE) is the largest faculty within the university. It offers high-quality education and
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research environment with a strong scientific and social network for students and postdocs and good mentoring opportunities to support individual career development. You will have access to state-of-the-art
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of plants and pollinators, and (2) fieldwork to examine phenological synchrony and mismatch in specialized versus generalist plant-pollinator networks. The project provides flexibility to adapt the approach
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open, reproducible science. This exciting and challenging project will be jointly supervised by Prof Rossiter (Soft Robotics) and Prof Kent (Psychology) but will offer many networking opportunities and
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attend international and national conferences to present your work and network with other scientists from across the globe. At the end of your PhD, you will be an accomplished and highly-capable scientist