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, excellent working and networking conditions, and full employment benefits. Qualification requirements Appointment as postdoc requires academic qualifications at PhD level. How to apply Your application must
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significant contributions to fundamental machine learning research, possessing a combination of mathematical maturity and advanced engineering skills: Education: A PhD in Computer Science, Mathematics
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international network of collaborators and visitors. Further information: Department of Computer Science: https://www.science.ku.dk/english/about-the-faculty/organisation/ Faculty of Law: https://jura.ku.dk
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will gain: Strong expertise in statistical and computational methods for privacy Experience working with unique, real-world health data Collaboration with an interdisciplinary research team across data
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study design, data analysis, manuscript preparation, presenting findings at international conferences, and mentoring students. Your competencies The ideal candidate has: A PhD in machine learning
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investigate generative AI in Danish upper secondary education while being part of an active international research network. Who are we? GAIYA is a Nordic Baltic research project that studies how generative AI
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contributing to the continued expansion of a proteomics research programme at Aarhus University. Your profile Applicants should hold a PhD in proteomics, analytical chemistry, molecular biology, biochemistry
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assistant requires a master’s degree and the position as postdoc requires a PhD degree. In both cases an educational background within robotics, mechanical engineering, electrical engineering, computer
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Department of Electronic Systems employs more than 200 people, of which about 90 are PhD students, and about 40 % of all employees are internationals. In total, it has more than 600 students in its BSc and MSc
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, information science or related fields. A PhD in social science or related areas is required. We expect the candidates to have excellent communication skills in spoken and written English, and an ability to produce