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Field
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artificial intelligence to identify molecular signatures of resilience and decipher the underlying mechanisms of Mediterranean ecosystem recovery after wildfires. - **Activity 1:** Field campaigns will be
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Computer Science, sub-areas of Artificial Intelligence, Serious Games and Medical Image Processing, and supported by the Multiannual Funding of R&D Units of the FCT (UID/5210/2025) Where to apply Website https
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https://www.uni.lu/snt-en/research-groups/trux/ . Your role Conduct cutting-edge research in Artificial Intelligence and Cybersecurity Design, implement, and run studies in human subjects research
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Purdue Polytechnic’s following research priorities: Applied Artificial Intelligence (AI), Cybersecurity, Smart Cities, Smart Manufacturing, and Digital Health. The targeting funding agencies include but
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the field are foreseen. The job includes participation in (international) conferences and (hybrid) workshops, as well as occasional travel Where to apply Website https://recruitment.jrc.ec.europa.eu/vacancy
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artificial intelligence (AI) tools for analyzing biological images. Student employees cannot work more than 1300 hours in a 12-consecutive month period. Employment is contingent upon funding. Responsibilities
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green transition, the digital transition and advances in artificial intelligence, together with geopolitical shocks, are driving significant labour market transformations, which heighten the need
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 2 months ago
Offer Description INEGI is opening a call for applications for the recruitment of a PhD Researcher in the field of Scientific Artificial Intelligence, Optimisation and Computational Modelling Applied
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 3 months ago
Energy, Transport and Aerospace, funded by the Foundation for Science and Technology (FCT). It focuses on Scientific Artificial Intelligence, optimization, and computational modeling in engineering, aiming
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mHealth systems integrating smartphones and wireless sensors with signal processing algorithms and artificial intelligence (AI) models for unobtrusive sleep apnea detection, multi-night monitoring