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knowledge of power system security and machine learning being crucial. The Associate will primarily work alongside National Grid engineers to integrate the machine learning backend of the intrusion detection
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Neutral Infrastructure (dfCO2), this role contributes to Program 4: Machine Learning for Carbon Performance (https://dfco2.org.au/program_4 ) that aims to advance the next‑generation AI methods to model
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and adapt machine learning and deep learning models (e.g., convolutional and transformer-based architectures) to biological questions in collaboration with investigators. Develop interpretable models
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. Research Associate in Bioinformatics and Machine Learning Applications to Stem Cell Bioengineering The School of Biomedical Engineering at the University of British Columbia, Vancouver campus is seeking a
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» Biomedical engineering Engineering » Computer engineering Researcher Profile First Stage Researcher (R1) Positions Undergraduate Positions Application Deadline 20 Mar 2026 - 23:59 (Europe/Lisbon) Country
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University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture | Croatia | 12 days ago
20 Mar 2026 Job Information Organisation/Company University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture Department Department of Design, Chair of Machine Elements Research
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, etc.). Background in a higher education setting. Technical Knowledge or Skills: Superior computer skills including Microsoft Office software, such as word processing, spreadsheets. Working Conditions
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: https://hr.uky.edu/employment/working-uk/equivalencies Required Related Experience 0 yrs Required License/Registration/Certification One of the following: 1. State Registered Nurse Assistant (SRNA) 2
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-related conditions, age, creed, religion, actual or perceived disability (including persons associated with such a person), arrest and/or conviction record, military or veteran status, sexual orientation
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for 3 years. The project is conducted in close collaboration with the SFF Integreat, The Norwegian Centre for Knowledge-driven Machine Learning (ML) , a centre of excellence funded by RCN and in operation