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Field
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Description The post-doctoral fellow will work on research projects related to the network applying a data management plan and statistical analysis plan design, epidemiology, causal inference, semi-parametric
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pathways and systemic change across environmental, economic and social dimensions; apply approaches like network analysis and complementary systems-change-oriented methods to national-scale case studies
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your academic career? Your interests lie in the field of machine learning techniques, particularly artificial neural networks, and deep learning? And you would like to continue your research
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analysis, and mechanistic interpretation. The research will be conducted primarily in English. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR5237-ZSUDOS-002/Default.aspx Requirements Research
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reduction, clustering, penalized regression, multiple-testing correction, pathway analysis, network analysis, or multiomics integration Experience with longitudinal cohort studies, pregnancy or birth cohorts
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Profile PhD in Electrical Engineering, Mechanical Engineering or a related field Background in numerical methods, mathematical modeling, and network simulation or analysis Good understanding of power
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | about 2 months ago
. Numerical methods, in particular FEM-based stress analysis at initiation sites within the framework of local fracture approaches, provide a natural bridge between experiment and mechanistic understanding
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | about 2 months ago
analysis methods. You'll join an interdisciplinary team of currently four PhD students, three postdocs (including this position), and four senior scientists, supported by technical staff (workshop
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, chemistry, microbiology, social science, geography, economics, to policy analysis. Basic as well as applied research is conducted on some of the major challenges facing society, such as pollution and
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use, providing richer context and a more comprehensive analysis of current complex issues in society. If this fits your expertise and interests, the Interaction Division of Utrecht University is seeking