56 learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" "Adelphi University" positions in Sweden
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. In addition, the following are requirements for the role: Strong programming and quantitative skills, particularly in Python and/or R. Experience in deep learning, machine learning, or large-scale
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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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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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-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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of training in higher education teaching and learning. The purpose of the position is to develop independence as a researcher and to create the opportunity of further academic development. The postdoctoral
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the opportunity for three weeks of training in higher education teaching and learning. The fellow will be expected to lead/contribute to research linking vegetation modelling with the LPJ-GUESS model with tree
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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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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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be 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
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digital twin collection and analysis of acoustic, mechanical, and anatomical data from toothed whales development and use of computational and analysis code, with or without machine-learning components, in