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have a master's degree in engineering with a background in any of the following domains: electrical or mathematical engineering, biomedical engineering, information technology, artificial intelligence
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Computer Science, Artificial Intelligence, Cybersecurity, Data Science, Game Programming, Health Informatics, Human-Computer Interaction, Information Systems, Information Technology, Intelligent Systems Engineering
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Requirements Experience in machine learning or artificial intelligence applied to biomedical data Experience in integrating clinical, molecular and imaging data for translational research Publications in high
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capture using artificial intelligence? Electrochemical CO2 capture is emerging as a highly promising alternative to conventional carbon capture technologies, with the potential to deliver more energy
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the CoSTAR Team lead by NASA/JPL (https://costar.jpl.nasa.gov/ ). Subject description Robotics and artificial intelligence aim to develop novel robotic systems that are characterized by advanced autonomy
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information on our practice-based PhD program, please see: https://sensilab.monash.edu/work-with-us/practice-based-phd/
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advanced artificial intelligence techniques to the development of innovative solutions will be highly valued. - The candidate should also demonstrate strong programming skills, as well as expertise in
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Infrastructure? No Offer Description The PhD project investigates how artificial intelligence can support the achievement of healthy soils by 2050 through EU policy implementation (e.g., CAP, Soil Monitoring Law
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Post Doc Associate & Post Doc Fellow, Artificial Intelligence, Technology, & Precision Nutrition & Health Cornell University is seeking applications for two postdoctoral positions: a Joan Klein
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new national research hub aiming to revolutionise UK manufacturing through Artificial Intelligence (AI) and support the achievement of Net Zero by 2050. The Co-AIMS (Collaborative AI for Manufacturing