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The Department of Spatial Planning at Radboud University is seeking a highly motivated and talented PhD candidate to join the EmPowerED project. In the EmPowerED project, researchers from research
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, underwriting, and portfolio optimization. Despite the growing relevance of ESG in insurance, there is no widely adopted, data-driven framework that integrates ESG metrics into customer portfolio decision-making
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of this state-of-the-art facility, which is expected to be fully operational by 2035/2036 and will include advanced laboratories for diagnostics and research, cutting-edge biosafety systems, and complex technical
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(with a strong mathematical focus) with above average grades Advanced knowledge in probability; expertise in random graphs, complex networks, hyperbolic geometry or topological data analysis is a plus
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of the immune system, and the evolution of complexity. More information For more information about this position and/or the project, please contact Dr. Erika Tsingos external link at e.tsingos@uu.nl . Do you have
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of the) [map ] Subject Area: Stochastic dynamical systems Appl Deadline: 2025/06/02 11:59PM (posted 2025/04/16, listed until 2025/06/02) Position Description: Apply Position Description Join Us! Are you
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skills to have or develop > Strong intuition and deep thinking with data sets - Designs new alphas, understands complex systems; knows where to start, or ask others where to start > Demonstrates strong
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complex systems and their role in the evolution of life. One of the key features of life is the presence of its essential molecules, such as amino acids, proteins, sugars and DNA, as a single mirror image
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located across 5 European countries. MonaLisa is at the forefront of artificial molecular machine research, setting the stage for breakthroughs in chemical synthesis, nanotechnology, medical treatment and
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the breeding of complex resilience traits for several crops in different growing systems. This collaborative effort involves four universities and numerous companies. It encompasses scientific research, data