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PhD studentship: Improving reliability of medical processes using system modelling and Artificial Intelligence techniques Supervised by: Rasa Remenyte-Prescott (Faculty of Engineering, Resilience
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Description As part of the German government's artificial intelligence (AI) strategy, the successful Saxon competence center ScaDS.AI Dresden/Leipzig (Center for Scalable Data Analytics and
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), Department for Scalable Data Analytics and Artificial Intelligence (ScaDS.AI Dresden) the Chair of Adaptive Dynamic Systems offers a position as PhD Student / Research Associate in FPGA Design for AI
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Analytics and Artificial Intelligence (ScaDS.AI Dresden) offers a position as Research Associate / PhD Student (m/f/x) (subject to personal qualification employees are remunerated according to salary group E
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Medicine (Director: Prof. Dr. Daniel Rueckert) is seeking to fill PhD candidate position (TV-L E13, 100% for 3 years) in Privacy-Preserving and Reliable Artificial Intelligence to be occupied starting from
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fields: Business Administration Computer Analytics / Artificial Intelligence Primary Education Early Childhood Education Requirements: PhD degree in the relevant field Fluency in English (teaching medium
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aims to accelerate materials development through digital methodologies, combining robotic automation of experimental tasks with artificial intelligence to optimize processes and establish composition
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in combination with data from automatic milk feeders. Integrating all these data into artificial intelligence (AI) models will enable faster and more accurate detection of early signs of respiratory
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(Artificial Intelligence and Epidemic Modeling to Prepare Hospitals for the Next Respiratory Pathogen with Pandemic Potential). Project Overview The COVID-19 pandemic exposed critical gaps in our ability
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AI & Cyber Futures Institute - Charles Sturt University | Bathurst, New South Wales | Australia | 6 days ago
Herbicides PhD Student Scholarships: Integrated Australian Shorn Wool Production Forecasting System Using Digital Twin Technology PhD Student Scholarships: Artificial Intelligence-Powered Climate Resilience