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software required to exploit the upgraded tracking detectors, as well as ensuring all code used is efficient on the changing computing architectures available. The post will also support the upgrade software
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academic institutions. Relocation benefits are available per university’s guidelines. MINIMUM QUALIFICATIONS: A PhD in interior design or interior architecture; OR a bachelor’s or master’s degree in interior
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area networks (WAN), cloud networks, and other data communication networks. How to Apply: Interested candidates may apply online at https://jobs.coastal.edu/postings/122577 . Applicants must submit a
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with the company’s CRM, website and training platforms involves a deep understanding of software engineering and AI deployment for Architecture/building services. Lead the delivery of the KTP project
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, advanced packaging, backside power delivery networks, and chiplet-based architectures require new methodologies to model and optimize system behaviour beyond the traditional chip boundary. You will develop
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Computer science » Modelling tools Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 1 Oct 2026 - 23:59 (Europe/Oslo) Country Norway Type of Contract Temporary Job Status
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engineeringEducation LevelPhD or equivalent Skills/Qualifications We are looking for an enthusiastic researcher with a PhD in Polymer Science, Materials Science, Chemical Engineering, Mechanical Engineering, Chemistry
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Inria, the French national research institute for the digital sciences | Talence, Aquitaine | France | about 2 months ago
analysis of mechanisms, mechatronic design, and robot architecture optimization. This PhD is part of a collaborative research project with the Gepetto team at LAAS-CNRS (Toulouse). The PhD candidate will
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): the doctoral candidate will work to SAFRAN's site in Colombes (France). Objectives This PhD project aims to investigate the influence of ceramic shell microstructure and cluster architecture on the thermal shock
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-learning architectures for sequential data (e.g., Transformers, graph neural networks, state-space models). Experience with OpenCV, GPU-accelerated inference, Docker, and modern software engineering