112 parallel-computing-numerical-methods PhD scholarships at University of Groningen in Netherlands
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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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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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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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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
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MMF/Nexus pipeline and the stochastic Bayesian Bisous method. To improve, extend and deepen the analysis to a full dynamical inventory, a major incentive for the project is the application and
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organizational behavior with a record of high academic achievement. A solid training in research methods during a (Research) Master program or similar. A strong interest in empirical quantitative survey-based and
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systems—commonly referred to as neuromorphic computing—holds the potential to create highly intelligent machines capable of supporting a wide range of everyday applications, from autonomous vehicles
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available from several Dutch charitable organizations. These organizations have also indicated their willingness to participate in field experiments. The PhD position is embedded in the research programme
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systems—commonly referred to as neuromorphic computing—holds the potential to create highly intelligent machines capable of supporting a wide range of everyday applications, from autonomous vehicles