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properties of catalysts together with statistical methods to derive predictive models for selective catalysis. In a data-driven approach, an initial set of reactions is analyzed and used to establish such a
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trends. Data-driven approaches are attractive alternatives. Descriptors are used to characterize the molecular properties of catalysts together with statistical methods to derive predictive models
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modelling. experience with computational methods in social sciences. experience with spatial and regional data. experience with handling large datasets. experience with the use of social survey microdata
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Are you an early career scholar eager to further shape an inclusive and environmentally engaged art history? Do you want to contribute to a programme that values transhistorical, theory-driven, and
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engaged art history? Do you want to contribute to a programme that values transhistorical, theory-driven, and object- centered research? Your Role As an art history scholar, you engage with colleagues and
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to participate in field experiments. The PhD position is embedded in the research programme Marketing of FEB’s Research Institute. You will therefore be working at the Department of Marketing. The project will be
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, also in relation to specific computer hard- and software. Monitoring and updating hardware/software for observational education. Staying up to date with programming and observational methods in
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the overall structure of the cosmic web are the various versions of the scale-space MMF/Nexus pipeline and the stochastic Bayesian Bisous method. To improve, extend and deepen the analysis to a full dynamical
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, and pilot innovative activities tailored towards vulnerable populations. The University of Groningen is responsible for deploying both conventional and novel methods for data analysis to study the way
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Fellowship Programme (EVOLVE – EVOLVE Fellowship Programme), an initiative by six world-leading research institutes of two universities in The Netherlands (University of Groningen, Leiden University) to study