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space systems; Investigating and implementing PQC algorithms to safeguard space data systems against quantum computing threats; Evaluating the performance and security of PQC solutions in the context
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and computing, to apply. One position will focus on the scaling, calibration, operation, and tuning of spin qubit arrays using algorithmic techniques, as part of an international project, with
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investigate how machine-learning based algorithms can be used to personalize the user experience. The goal of this personalized user experience is to enable each individual user to discover their own
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) and cover a wide range of innovative topics, from the development and validation of novel methods, algorithms and EO products to innovative climate research; the development of improved climate data
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neuroscience and autism research. You will work in this team You will join a dynamic, interdisciplinary team led by Dr. Joe Bathelt, in collaboration with Prof. Hilde M. Geurts and Dr. H. Steven Scholte. Our
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This is a fixed-term position (under the supervision of Prof Dimitris Ballas, Dr Wander Jager and Dr Richard Rijnks) from 1 July 2025 until 31 May 2026 and will involve the development and
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. Applications will be reviewed, and interviews scheduled during the recruitment period. Therefore, you will receive feedback and information about a possible follow-up process shortly. If a suitable candidate is
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knowledge of extracting (event) data from text, documents, and/or media articles or implementing large-N analytics and algorithms, preferably LLMs and/or NLP. Conduct collaborative and independent research
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We are looking for PD candidate for a joint project between the groups of Prof. Ben Feringa and AkzoNobel, within the framework of the Advanced Research Center Chemical Building Blocks Consortium
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and geo-analytical transformations; design and implement algorithms that parse geographic questions into conceptual transformation graphs; develop graph-based methods (e.g. knowledge graph embedding