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machine learning. The project combines methodological research in statistics with applications to large-scale social science data. The successful candidates will have the opportunity to collaborate closely
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-safety analysis. The research will combine empirical crash and traffic data with statistical modelling, machine learning and traffic or driving simulation to study crash occurrence, injury severity and
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activities. Find more reasons why Lund University and the Faculty of Science are right for you here and here , and learn more about what it is like to Working in Lund , Moving to Lund and Living in Lund
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assistant will primarily involve preparing and integrating large geospatial datasets, adapting and applying machine-learning models across different forest and environmental conditions, and evaluating model
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. Conduct transportation resilience assessment and enhancement studies based on GIS, complex network analysis, and machine learning. Simulate human mobility in response to extreme weather events (e.g
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included, but up to no more than 20% of working hours. The position includes the opportunity for three weeks of training in higher education teaching and learning. The purpose of the position is to develop
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thus MLOps (Machine Learning Operations), datacentric AI, and legal and ethical aspects of AI. The empirical research catalyzes industry-academia collaboration and cross-disciplinary initiatives, in
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themes: (1) how does the inherited migratory program instruct the juvenile on its first journey?, (2) which are the genes that control migratory behaviour and when and where are they expressed? and (3) how
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Programmes. The position also involves teaching and evaluation within the Biomedicine Programmes and/or the first cycle of the Medical Programme (semesters 1-5) using various forms of active learning. As a
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skills and the ability to learn and perform new laboratory and experimental techniques Ability to follow established protocols and work in accordance with ethical and regulatory requirements Careful