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University of Brighton | The City of Brighton and Hove, England | United Kingdom | about 19 hours ago
We are seeking a Programme Manager to lead partnership projects within the Sussex Learning Network (SLN), supporting learners, particularly those from underrepresented backgrounds, to progress
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from working closely with its team of post-docs, associated researchers and partners (that range from Microsoft Research to the NHS). For this project you should have a strong interest in AI/Machine
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Simulation is responsible for leading strategic planning, implementation, and evaluation of innovative simulation and immersive learning experiences across nursing programs. This role ensures alignment with
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Simulation – Data Analytics and Machine Learning (IAS-8) at Forschungszentrum Jülich, which is dedicated to pushing the boundaries of data science theory and application. Our research spans from use-inspired
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areas. These include, but are not limited to: Applying machine learning algorithms to solve real-world problems. Creating and structuring databases for storage, retrieval, and image analysis. Determining
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the workplace. In particular, the candidate will carry out his/her activity within the framework of the Machine 5.0 Project (as well as the BAYWATCH and SFDES projects, already approved by INAIL and currently in
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, network intrusion, penetration testing, machine learning, artificial intelligence, computer vision, VLSI or related interdisciplinary domains. Responsibilities – Essential Functions: Teaching in
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RAP opportunity at National Institute of Standards and Technology NIST Combining Theory, Simulation, Machine Learning, and Autonomous Experiments for Industrial Formulation Discovery Location
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candidate will be expected to teach at the undergraduate and graduate level and contribute to developing new courses in their area of expertise. The department currently offers Electrical and Computer
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enhancement, of a high-quality student learning experience. The post is fixed- term, until the 31st of July 2028 . The role is suitable for blended working. Please visit the LTDS web pages to find out more