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infrastructures. Minimum requirements: - Knowledge of Software Engineering; - Knowledge of Computer Networks; - Knowledge of Distributed Systems; - Demonstrated experience in a professional context. 5. EVALUATION
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, including neural networks hardware accelerator systems. • Design, model, and simulate memristor cells and circuits tailored for AI acceleration. • Collaborate on the fabrication and experimental
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 1 month ago
new mixture models and implementing them efficiently so they can be used to estimate very large phylogenies. You will have significant freedom to develop and pursue your own research ideas within
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, Hydrology, Geosciences, Environmental Science, Environmental Engineering, Civil Engineering, Mining Engineering, Environmental Modelling, Geoinformatics, Geospatial Data Science, Geology, Applied Computer
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11 Mar 2026 Job Information Organisation/Company INESC ID Research Field Engineering » Computer engineering Researcher Profile First Stage Researcher (R1) Positions Bachelor Positions Application
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estimates of health loss due to diseases, injuries, and risk factors worldwide. This role offers an opportunity to be part of a global network advancing data-driven health policy and research impact. More
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hope that you can embrace these values and promote them in your work. We offer The position will be filled for a fixed-term period of two years. The estimated starting date is 2 May 2026, or as mutually
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care for individuals at different levels of cognitive risk, including asymptomatic individuals who currently lack a defined care pathway in the conventional health network. The BBHC thus constitutes a
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technologies; - Experience with CI/CD methodologies and technologies Minimum requirements: - Knowledge of Software Engineering; - Knowledge of Computer Networks; - Knowledge of Distributed Systems; - Proven
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Computer Engineering. More information on the laboratory is available at www.neuroimaginglab.org . The MNNDL group at NUS is a multidisciplinary team studying the human neural bases of cognitive functions