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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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datasets using both traditional methods (e.g., factor analysis) as well as more modern approaches (e.g., deep learning). The goals are to develop new computational methods that allow the scientific inference
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... Master's degree in cognitive science, data science, statistics, computer science or a related field Enthusiasm for interdisciplinary research & research methods Strong analytical skills and a collaborative
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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of aging and lifespan development Interest in studies of ambulatory assessment Good knowledge of and interest in quantitative methods (e.g., multivariate analyses, longitudinal analyses, multilevel analyses
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. To do this, knowledge or willingness to be trained in advanced statistical modelling, ideally with an interest in methods for causal inference in observational data, is strongly preferred. Using various
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of ambulatory assessment and very old age Good interpersonal skills and interest of working with older adults Good knowledge of and interest in longitudinal quantitative methods (e.g., multivariate analyses
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numerous non-academic partners such as ministries, local governments, associations, NGOs … A strong doctoral program with training in scientific and transferable skills, participation in schools, conferences
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission