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description Are you motivated to discover the qubits that build the quantum information processing machines of the future? Do you want to embed qubits in scalable systems and help bring quantum technology to
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parameters based on paired visible-light and X-ray images. The developed techniques will be validated on real data. As a candidate, you must have a strong background in machine learning and computer vision, as
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Sociology; Cultural Anthropology and Development Studies; and Gender and Diversity Studies. The overall aim of RSCR is to improve the understanding of the processes leading to inequalities in various
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planning tools that support the design and operation of circular AM-enabled factories. Crucially, this role involves conducting prototypical technical implementations of digital and physical (e.g. including
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, logistics, and digitalisation. The PhD candidate will develop digital factory models, simulations, and planning tools that support the design and operation of circular AM-enabled factories. Crucially
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process of 1) imagining consumption corridors for housing, and identifying promising trends, 2) experimenting with consumption corridors, using design speculations on alternative ways of living, and 3
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extreme events manifest and which are the most relevant processes? Do you want to bring together deterministic modelling and stochastic classification?Then we may have the perfect opportunity for you! We
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regarding this position, you are welcome to contact Dr. Gaurav Rattan via the following email address: g.rattan@utwente.nl Screening is part of the selection process. About the department The Department
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) - Contact details of two referees Selection process Sasha Ivashchenko, o.v.ivashchenko@umcg.nl , telefoonnummer: +31 (50) 361 9261 Additional comments Sasha Ivashchenko +31 (50) 361 9261 o.v.ivashchenko
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of how fundamental biological processes shape natural ecosystems, and enable novel biotechnological applications. Key responsibilities: Perform bio-electrochemical cultivations with yeast (S. cerevisiae