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Agreements for Dutch Universities (CAO-NU) (scale P). This is based on a full-time working week of 38 hours. We offer a temporary contract for 18 months which will be extended for the duration of the project
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, today's codes and decoders remain far too costly and too slow to make large-scale fault-tolerant quantum computing practical. Closing that gap is one of the defining challenges of the coming decade, and it
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be a plus. Data analysis, modeling and applied ML experience is recommended, given the need to identify patterns in large-scale behavioral logs. Software reverse engineering (Frida, IDA Pro) experience
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27 Jul 2026 Job Information Organisation/Company IDAEA-CSIC Research Field Physics » Surface physics Physics » Computational physics Engineering » Computer engineering Researcher Profile First Stage
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systems have recently emerged for quantum technologies: single fluorescent defects in silicon. These single color centers are not only incorporated in silicon, the ideal platform for large-scale
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agent systems to let biologists query, retrieve, and reason over large-scale image databases We are also open to your ideas that align well with our interests and expertise! About us: Our mission is to
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through the MARUM - Center for Marine Environmental Sciences - is offering the position of a Research Assistant (PhD student position) (f/m/d) in German pay scale 13 TV-L with 75% of the weekly working
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2 PhD Positions in Computational Modelling of Biological Membranes and Adaptive Functional Materials
simulations and explore large parameter spaces. The project is particularly suited for candidates interested in statistical physics, computational physics, stochastic processes and theoretical condensed matter
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project partners A continuation into a post-doctoral position may be possible The position is generally suitable for candidates with disabilities. Disabled applicants will be given preference in case
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Health Data Sciences and Informatics (OHDSI, https://ohdsi-europe.org ) initiative, dedicated to bring out the full value of observational health data through the OMOP Common Data Model and large-scale