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Qualification: • master's in Computer Science, Mathematics, Physics, or related fields; • experience with some programming language such as Python, Matlab or Julia; • excellent analytical and problem-solving
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of the same project. Functions to be developed: Participate in the development of neural networks. Cooperate in dynamic analysis. Where to apply Website https://seuelectronica.upc.edu/en/procedures/call-for
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, religiosity, trust in local leaders). The candidate will be supervised by Prof. Francesco Ferlenga The successful applicant should have: Proficiency in programming languages (Stata, R, Python, …), excellent
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skills in Python and/or R. Experience with Google Earth Engine. Ability to work both independently and collaboratively in an international research team. Ability to write and communicate in English
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, documenting, debugging, maintaining, and modifying routine computer programs for the PMEL Argo program (https://argo.ucsd.edu/data/data-faq/ ). This will entail the development of software tools to log output
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | 18 days ago
Website https://jobs.inria.fr/public/classic/en/offres/2026-09839 Requirements Skills/Qualifications Strong mathematical background. Knowledge in numerical optimization is a plus. Good programming skills in
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students, it offers a friendly and international work environment Learn more about CQT at https://www.cqt.sg/ Job Description We are looking for a talented and motivated Research Assistant to join our
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simulation campaigns in the group's different projects. Manage computing resources to support the different simulation campaigns. Where to apply Website https://seuelectronica.upc.edu/en/procedures/call-for
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the analysis and validation of results within the scientific project. Where to apply Website https://seuelectronica.upc.edu/en/procedures/call-for-recruitment-of-ptgas-staf… Requirements Research FieldPhysics
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process of transforming the IFC format into knowledge graph format. Provide support in static and dynamic data integration tasks for digital twins. Where to apply Website https://seuelectronica.upc.edu/en