110 machine-learning "https:" "https:" "https:" "UCL" "UCL" "UCL" PhD positions in Spain
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review of fire modeling. Improvement of selected models. Analysis of the implications for transport networks. Where to apply Website https://sede.uvigo.gal/public/catalog-detail/28364578 Requirements
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modeling with SUMO. Programming transport modes with Python. Integration of climate constraints into a transport model. Emergency and disruption management. Where to apply Website https://sede.uvigo.gal
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robots for facade operations. Programming in MatLAB and Python. Navigation in GNSS-denied environments. Publicacion of scientific papers. Development of project deliverables. Where to apply Website https
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another European country, your application must be submitted through the following website: https://reg.redsara.es/es/ By clicking on “Nuevo registro” (New registration), you will access a page like this
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NIE or DNI. If you are a citizen of another European country, your application must be submitted through the following website: https://reg.redsara.es/es/ By clicking on “Nuevo registro” (New
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workflows). Ability to work effectively in English within an international research environment. High learning agility and a structured approach to complex problem-solving. Assets (Desirable, but not
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expertise in analysing complex quantitative and computational data and/or rich qualitative data. • Proficiency or skills to learn a statistical software (e.g., R, Stata, Python). • Interest in contributing
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UNIVERSIDAD CATÓLICA DE MURCIA - FUNDACIÓN UNIVERSITARIA SAN ANTONIO DE MURCIA | Spain | 3 months ago
Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you passionate about Artificial Intelligence, Machine Learning
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the resilience, security, and performance of these systems. The research associate will contribute to building up the newly founded Secure Mobile Systems Group. Where to apply Website https://networks.imdea.org
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for converged Wireless-opTical cOnfiguratioNs”. The research will cover three key pillars: Artificial-Intelligence (AI)-driven models in the access domain, focusing on CF technology to efficiently acquire Channel