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University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture | Croatia | about 15 hours ago
3 Apr 2026 Job Information Organisation/Company University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture Department Department of Energy, Power Engineering and Environment
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the project. Position You will work actively on the preparation and defence of a PhD thesis in Interior Architecture and in Architecture and Urbanism, with a focus on the link between the past and present
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the Department of Architecture, Design, and Media Technology and is part of a larger project involving at least two PhD candidates. [CB1] The candidate’s workplace will be in Aalborg. Your work tasks The
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representations as a first building block, the recruited candidate will be responsible for developing end-to-end interpretable neural architectures. The goal is to remain within an interpretable space throughout
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Job Title Postdoctoral Research Associate Agency Texas A&M University Department Landscape Architecture & Urban Planning Proposed Minimum Salary $4,229.17 monthly Job Location College Station, Texas
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sustainability and climate curriculums and educational resources. Candidate Profile • A PhD in environmental engineering, computer science, data science or similar • Highly motivated, detail orientated and
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. Applications are invited from candidates with a relevant PhD qualification and research experience on the social aspects of climate change and sustainability research and education. Achievement of the expected
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27 Mar 2026 Job Information Organisation/Company Télécom Paris Research Field Computer science » Computer architecture Researcher Profile First Stage Researcher (R1) Positions Postdoc Positions
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for scalable qubit architectures. Qualifications · For Theorists: o PhD in quantum information, theoretical physics, computer science, or related fields. o Strong background in quantum algorithms, error
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implement and train neural network architectures, including Physics-Informed Neural Networks (PINNs), in order to integrate physical constraints into the learning process and improve the identification and