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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 3 days ago
Researcher Profile Recognised Researcher (R2) Positions PhD Positions Country Portugal Application Deadline 5 Oct 2025 - 23:59 (Europe/Lisbon) Type of Contract Not Applicable Job Status Not Applicable Offer
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technologies, including big data analytics, artificial intelligence (AI), remote data transfer, and cloud computing to help solve complex agricultural problems. -The candidate will work on the synthesis
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on the effective integration of renewable energy, resource efficiency, and waste reduction. The candidate must hold a PhD in Urban or Rural Development, Civil Engineering or related domain. The candidate is expected
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- Conference travel support - 1-year contract, renewable (up to 3 years total) - Cloud compute provided by Nebius Requirements: - PhD in Mathematics or Computer Science - For existing projects: willingness
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applicant will also bring significant experience with general software engineering, with working experience with Cloud Platforms (Google Cloud Platform, AWS, Azure), alongside a strong understanding of recent
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@ifj.edu.pl The application must include: -CV, -cover letter, - a copy of PhD degree or a document confirming awarding PhD degree, - GPDR consent "I consent to the processing of my personal data by IFJ PAN
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Postdoc Impact of Computational Infrastructures on Public Institutions and Administration of Justice
of “clouds”. Popular discussions revolve around the topics of data protection, algorithmic regulation, and asymmetric ‘technological dependencies’ that raise concerns around monopolies and “digital sovereignty
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tools, including 4D point cloud modeling and state-of-the-art machine learning and deep learning techniques (such as generative adversarial networks), with empirical fieldwork in Norwegian glacier
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of the molecular ISM of galaxies, with a focus on galaxy centres. In particular, this project aims to measure the spatially resolved properties of giant molecular clouds and/or weigh the supermassive black holes
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, such as sedimentation, meltwater flow, and vegetation change, into active drivers of adaptive design. This interdisciplinary work combines advanced computational tools, including 4D point cloud modeling and