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or more of: the use of micro/nanofabrication and materials characterization tools; computational multi-physics/electromagnetics modelling and/or the application of machine learning algorithms; experimental
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in algorithms development and refinement; (b) a good command of both written and spoken English; and (c) at least two first-authored publications. Preference will be given to those with: (a
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or more of: the use of micro/nanofabrication and materials characterization tools; computational multi-physics/electromagnetics modelling and/or the application of machine learning algorithms; experimental
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Dutch and English. Affinity or experience with innovation projects involving partners from practice. Willingness or experience in programming heuristics and algorithms. Motivation to produce academically
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of Prof. Rachel Tribe and Dr Martinez-Nunez. The postholder will also benefit from the vibrant and growing bioinformatics community led by Dr. Alessandra Vigilante (lead of the Faculty of Life Sciences and
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of Prof. Rachel Tribe and Dr Martinez-Nunez. The postholder will also benefit from the vibrant and growing bioinformatics community led by Dr. Alessandra Vigilante (lead of the Faculty of Life Sciences and
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collaboration with Prof. Thomas Peyrin, at SPMS. We are seeking a Research Assistant to contribute to a project focused on design and analysis of cryptographic modes of operation. Key Responsibilities: Design
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postdoctoral position is available in the Geometric Machine Learning Group at Harvard University, led by Prof. Melanie Weber. This role offers an opportunity to perform research at the intersection of Geometry
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across domains. The research unit Intelligent Systems (IS) in Computer Science is focused on the development of Data Science, Pattern Recognition and Machine Learning algorithms for interdisciplinary data
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Networks, and ICT Services & Applications. Your role The APSIA Group (Applied Security and Information Assurance), led by Prof. Peter Y A Ryan, has recently been granted the project "Quantum LDPC codes with