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related field at the level of a master degree Programming skills (Python) and experience with common machine learning platforms Experience with deep learning, computer vision, medical image analysis
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or Computer Science; Human-computer Interaction, Spatial Cognition or related areas; Engineering, Applied Mathematics, Statistics or another Quantitatively Oriented Discipline. Application procedure Your complete
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deep learning, computer vision, medical image analysis or unsupervised learning is an advantage. English language skills, both written and spoken Qualification requirements PhD stipends are allocated
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Are you interested in Data Science and Digitalization in Smart Farming and can you contribute to the development of digital farming? Then the Department of Electrical and Computer Engineering
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to Head of Department Morten Petersen ([email protected] ). Filing of application The application including all attachments must be in English and submitted electronically by clicking APPLY NOW
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Are you interested in Data Science and Digitalization in Smart Farming and can you contribute to the development of digital farming? Then the Department of Electrical and Computer Engineering
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Engineering, Machine Learning, Applied Mathematics, or a related field. A strong academic background and interest in AI systems, embedded intelligence, edge computing, machine learning, or related areas. Strong
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Tudoran, [email protected]. If you need help with uploading your job application, please contact Office Apprentice Femke Wiltink per email: [email protected]. Terms of employment The position as student programmer is
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about the position, please contact Miriam Madsen, head of the Department of Education Studies, email: [email protected], tel.: +4520842672 Read about the Department of Education Studieshere . About the
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organizational theory, the learning sciences, digital transformation, digital technologies, human-computer interaction, and related fields. Within the specific field, the PhD student will engage in both research