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researcher network. The department consists of nine research sections with around 350 highly skilled employees, of which approximately 50% are scientific staff. More information can be found here . We believe
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lively, open and critical discussion within and across different fields of research a work environment with close working relationships, networking and social activities a workplace characterised by
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laboratories, greenhouses, semi-field, and field-scale research facilities, advanced computing capacities as well as an extensive national and international researcher network. The department consists of nine
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be working primarily with scientific machine learning methods, including symbolic regression and neural networks. You will apply the algorithms to the discovery of new models in different fields
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network of universities, research centers, and innovative companies, and you will be in contact with all the most relevant stakeholders in the water sector. Responsibilities and qualifications While
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international research networks time spent abroad working at one or more internationally recognised research institutions. Furthermore, applicants must have an advanced command of spoken and written academic
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-of-the-art facilities and computing infrastructure Strong support for research career development, including mentoring and international networking opportunities A commitment to diversity, equity, and
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cultures in the Age of Revolutions by analysing connections and translation networks between four geographic zones that all underwent significant political and social change in the period between 1815 and
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build strong networks with internationally known researchers at DTU and other universities as well. Your overall focus will be to strengthen the department’s competencies within sea level and marine
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network of international collaborators. Our work environment is supportive, dynamic, and designed to foster creativity and the development of innovative projects. What we offer A postdoc position in an