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per year for 3.5 years. Lead Supervisor’s full name & email address Dr Massimiliano Fasi: m.fasi@leeds.ac.uk Project summary The growing importance of artificial intelligence is fostering a paradigm
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you join us? At our Heilbronn branch, we research and develop electronic digital circuits with the aid of artificial intelligence together with our partners from industry and academia. The focus is on
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background in electronic circuit design. You will need strong written and verbal communication skills in English You can take on responsiblity, take own initiatives and work independently when needed You are a
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Electrical Engineering and Computer Science Nanotechnology/Devices (more...) Electrical and Computer Engineering Health Tech Microelectronics BioNanotechnology Artificial Intelligence, Machine Learning and
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. Funding is due to start from 1st October. FFA (Film Forming Amines) have been used for decades as corrosion inhibitors in water/steam circuits. More recently, they have also raised the interest of nuclear
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This PhD opportunity at Cranfield University explores how next-generation AI models can be embedded within resource-constrained electronic systems to enable intelligent, real-time performance
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Research theme: Large-area electronics No of positions: 1 Nationality of eligible applicants: Worldwide The successful candidate will receive an annual tax-free stipend set at the UKRI rate
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control software and machine learning expert. How you will support us: ▪ You will take on responsibilities in the field of control and operation of high-coherence superconducting quantum circuits, with a
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investigate and develop innovative memory solutions in advanced CMOS technologies such as FDSOI. The development of integrated circuits also plays an important role in making these networked devices and their
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investigate and develop innovative memory solutions in advanced CMOS technologies such as FDSOI. The development of integrated circuits also plays an important role in making these networked devices and their