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qualification, you must hold a PhD degree (or equivalent). The successful candidate must moreover exhibit the following professional and personal qualifications: Strong background within machine learning learning
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positions. Postdocs will be supported in improving their CVs for academic careers. This includes co-supervision of MSc and PhD students, teaching opportunities, and proposal development. You can learn more
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the project. Qualified candidates should have: A PhD degree in Computer Science, Electrical Engineering or equivalent. Research interests and a scientific track record in Edge Computing research fields, such as
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and analysis, human-machine interaction, productivity monitoring, and proactive personalized feedback and learning methods (using augmented and/or virtual realities). We seek excellent candidates with
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relevant (e.g., teach and co-supervise PhD and MSc student projects). Dissemination of your research through publications in “top rank journals of the field ” and attendance at conferences. Qualification
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forecasting. You will get the opportunity to participate and influence the development of advanced forecast solutions combining weather forecasts and novel machine learning/statistical forecasting methods
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. Postdocs will be supported in improving their CVs for academic careers. This includes co-supervision of MSc and PhD students, teaching opportunities, and proposal development. You can learn more about ESE
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levels, ranging from BSc, MSc, PhD to lifelong learning students. We have about 300 dedicated employees. Read more about us at www.energy.dtu.dk. Technology for people DTU develops technology for people
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positive and supportive team environment. You prefer to stay organized and take pride in completing your tasks in a thoughtful and structured way. As a formal qualification, you must hold a PhD degree (or
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: PhD in Veterinary Epidemiology or a related field, or demonstrated experience with epidemiology Strong quantitative data analysis skills Applied understanding of epidemiological principles Demonstrated