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. The research group, values a respectful and supportive work environment that promotes development, participation, and job satisfaction for all staff, with attention to both physical safety and psychosocial well
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lidar. The development is done by raytracing, Computer Aided Design and 3D printing. After calibration, the instruments will be tested in field for applications within bloodsucking disease vectors as
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at the Faculty of Medicine are enrolled in the faculty-wide doctoral training programme. The programme comprises 25 credits and is offered in two study tracks: 25 credits across 8 semesters (4 years) or across 12
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for computational analyses. Use of software and applications for modelling in development cohorts and testing in validation cohorts. Development of predictive software and, in collaboration, management of the group’s
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life science technologies with data and AI expertise. Computational methods and artificial intelligence applied to large-scale molecular data are transforming the study of biological systems at all
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for software development and its education. The group is multidisciplinary, including social and computer scientists. We are working with leading industrial partners, such as those within the automotive and
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the museum, ensuring that all visitors receive the best possible welcome. You are responsible for the safety of both visitors and the artworks, staff the reception and ticket desk, give introductions and
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: Employment as a postdoctoral researcher for approximately 2–3 years. Teaching experience in both theoretical and laboratory-based courses. In-depth knowledge of textile processes. Experience in securing
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models, statistical signal processing, statistical theory and computational statistics, and probability theory, with applications in areas such as medicine, environmental research, and financial
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, including the Teacher Education Programmes, the Sport Science Programme, the Human Resource Management Programme, the Behavioural Science Programme with a focus on IT environments, and the Police Education