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Description of the workplace The position will be placed at the division of Computer Vision and Machine Learning at the Centre for Mathematical Sciences . The Centre for Mathematical Sciences is an
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stakeholders at all SciLifeLab sites in Sweden, e.g. representing the technology platforms, the national data centre, the operations office, the training hub, the data-driven life science (DDLS) research program
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. The position is based at the Division of Fire Safety Engineering at Lund University’s Faculty of Engineering (LTH). Work duties You will primarily devote yourself to your doctoral programme, which includes
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offers a bachelor’s program in building technology, a bachelor’s program in building design, and a two-year master's program in sustainable construction technology. We are also developing an innovative 5
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the Bachelor's Programme in Criminology and the Master's Programme in Cultural Criminology. Teaching is primarily conducted in Swedish, but may also occur in English. Eligibility According to Lund University's
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international collaborations. The Department is responsible for courses in 14 of SLU's educational programs, such as programs in agronomy, a bachelor's program in biology and environmental science, a master's
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to complete the programme. Additional requirements: Very good oral and written proficiency in English. Very good knowledge in materials science or chemistry relevant for the position, for example chemistry of
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biotechnology, life sciences, molecular biology and biomedicine. In addition, it includes supervising research and contributing to development projects. Establishing a research program in translational
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to complete the work duties satisfactorily. The criteria for the evaluation of administrative expertise are: Experience as a program or course coordinator Demonstrated ability to create collaborations between
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to development projects. Establishing a research program in translational computational biology with a focus on developing new and scalable computational models (e.g. deep learning, machine learning, optimization