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, or chaotic neural networks. Experience with network dynamics. Experience with time-series analysis. Experience with stochastic processes. Experience with computational modeling of biological systems
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Materials science and technology are our passion. With our cutting-edge research, Empa's around 1,100 employees make essential contributions to the well-being of society for a future worth living
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research with Professors Mario D. Molina, Minsu Park, and Blaine Robbins. We seek candidates with research interests and expertise in social networks, group or organizational dynamics, and computational
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GESIS - Leibniz Institut für Sozialwissenschaften | Mannheim, Baden W rttemberg | Germany | 2 days ago
, Political Science, Social Psychology, Survey Methodology) Sound knowledge in empirical quantitative social research including the use of statistical analysis methods and programs (Stata, R) Excellent
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the Social Benefits Fund (for holidays and Christmas). We kindly inform you that the controller of your personal data is Network Institute operating under the name of Łukasiewicz Research Network – PORT Polish
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Offer Description Materials science and technology are our passion. With our cutting-edge research, Empa's around 1,100 employees make essential contributions to the well-being of society for a future
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for all full-time staff. Detailed Description Decarbonising heat is one of the most critical challenges in the transition to net zero. The Sustainable Open-loop Large-scale Interseasonal Thermochemical Heat
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future. Fueled by curiosity and a deep sense of duty, they contribute invaluable insights to research and teaching, enriching our society. Are you inspired and driven by the desire to make a meaningful
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sustainability problems in their social and economic context. IVM’s research community works within four departments: Environmental Economics; Environmental Geography, Environmental Policy Analysis; and Water and
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at the Network Science Institute. The group works at the intersection of higher-order network science, topological data analysis and information theory, with applications in machine learning