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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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. The School occupies facilities across the Guy’s, St Thomas’ and Denmark Hill campuses of King’s College London and comprises over 65 academic groups, hosting 400 staff and 110 PhD students. Our community
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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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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