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qualifications As our new colleague in our research team your job will be to develop novel computational frameworks for machine learning. In particular, you will push the boundaries of Scalability, drawing upon
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agreed upon with the relevant union. The period of employment is 3 years. You can read more about career paths at DTU here . Further information Further information may be obtained from Associate Professor
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, please see DTU PhD Guide . The assessment of the applicants will be made by Associate Professor Kaushik Das, Senior Researcher Matti Koivisto, Postdoc Rujie Zhu and Head of the RES section Gregor Giebel
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agreed upon with the relevant union. The period of employment is 3 years. You can read more about career paths at DTU here . Further information Further information may be obtained from Associate Professor
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undermine this future. Can you see how Machine Learning, Computer Vision, and Robotics can open up opportunities for autonomously operating agricultural robots? Are you passionate about making agriculture
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our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment of the applicants will be made by Associate
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electronics, materials, corrosion, and reliability is preferred. Salary and appointment terms The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations
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background in digital CMOS design, SSM algorithms, and deep learning architectures. For further information, please contact Professor Farshad Moradi, moradi@sdu.dk or other members in the team (Associate
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education . Assessment The assessment of the applicants will be made by Associate Professor Gregor Fischer according to the qualification requirements stated above. We offer DTU is a leading technical
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from University of Copenhagen and University of Southern Denmark on creative problem solving, instruction, and disciplinary writing in the age of AI. Main supervisor is Associate Professor Prajakt Pande