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Posting Details Position Details Title Multiple, Tenured, Associate or Full Professors in Computer Engineering Appointment Status Tenure Department IU Bloomington Vice Provost For Faculty Affairs
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to Applicants: For full consideration, applicants must apply for Open-Rank, Tenured/Tenure-Track Electrical and Computer Engineering Faculty at https://jobs.gmu.edu/. Complete and submit the online application
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collaboration skills crucial to effective teams. The class is cross-listed with Duke’s Electrical and Computer Engineering (ECE) department within Duke’s School of Engineering. The NLP class to be taught will
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BIOS-06/A - A synaptic mechanogenetic technology to repair brain connectivity - CUP: J93C22002400006
of neural networks. The technology will be validated in mouse models of neurological disorders. Where to apply Website https://pica.cineca.it/units Requirements Additional Information Eligibility criteria
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Interaction, Robotics and Autonomous Systems, Software Engineering and Programming Languages, Systems and Networking, and Theoretical Foundations. Our department has over $16 million in active research grants
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tools such as network analyzers, cable testers, and configuration utilities Department: Information and Communication Technology, Research Library & Data Centre Status: Permanent Employment Group: ASPA
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15 Jan 2026 Job Information Organisation/Company National University of Science and Technology POLITEHNICA Bucharest Department Arrowhead flexible Production Value Network (Arrowhead fPVN) Research
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electrical engineering, computational engineering, or a related discipline A strong foundation in power system modelling and simulation Solid programming skills (Python, C++, or comparable languages) Interest
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NYU Abu Dhabi is a degree-granting research university with a fully integrated liberal arts and science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu
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AI researchers from ANITI, IMT and CERFACS, as well as with researchers/engineers in weather forecastings from the CNRM (Météo-France). Hybridization methods between neural networks and physical models