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on fundamental and applied knowledge at different levels of structural and functional organization to underpin environmental management decisions. The PhD student will investigate the relative importance
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interest in socioeconomic policy issues and social questions. You have a solid background in quantitative research methods and data analysis. You have a good knowledge of statistical software packages
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questions. You have a solid background in quantitative research methods and data analysis. You have a good knowledge of statistical software packages such as STATA, SPSS, SAS or R, or willing to acquire
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keen interest in medical imaging and biomedical research. You have excellent programming skills and in-depth knowledge of machine and deep learning. You have practical experience with solving large
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start work. Students that will obtain their Master’s degree this academic year are encouraged to apply. You can demonstrate outstanding academic results. You have knowledge of medical imaging, in
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can demonstrate outstanding academic results. You have knowledge of medical imaging, in particular MRI. You have knowledge of quantitative MRI (diffusion, relaxometry, …). You hold a FELASA certificate
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skills and in-depth knowledge of machine and deep learning. You have practical experience with solving large linear systems (e.g. numpy) and large optimization problems (e.g. scipy, cvxopt, ...). You have
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can demonstrate outstanding academic results. You have knowledge of medical imaging, in particular MRI. You have knowledge of quantitative MRI (diffusion, relaxometry, …). You hold a FELASA certificate
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digital archaeology, as well as conceptual and methodological approaches to archaeological space and time, is desirable. Basic conceptual and/or practical knowledge of relational and graph data models, data
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approaches to archaeological space and time, is desirable. Basic conceptual and/or practical knowledge of relational and graph data models, data standards commonly used in archaeology and/or heritage studies