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the development of specialized hardware architectures capable of efficient, real-time processing. Embedded AI hardware architectures, including neuromorphic processors and low-power AI accelerators
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requirement. A very good command of the English language, both written and spoken, is a key requirement. Experience in Federated Learning, Computer Vision, Image Analysis, Mathematics, and Mathematical
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Interaction, are twofold. Firstly, you will advance our knowledge of what high fidelity support systems, both in general and for marine spatial planning specifically, should offer to support use and uptake
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tools and resources *If you are currently a term or continuing employee at NRC, please apply through the SuccessFactors Careers module from your NRC computer.
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Engineering Environmental Science Human Resources Information Technology Law Management Marketing Technology (Computer Systems and Networking) *Double Degrees in combination with one of the above are eligible
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availability) Scholarship Details Eligible courses Bachelor of Engineering (Honours): Chemical Engineering Electrical and Computer Engineering Mechanical Engineering Metallurgical Engineering Mining Engineering
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ecology, biology, microbiology, bioinformatics, or a closely related field is an advantage. Excellent oral and written English language skills are a requirement. Previous experience in computer programming
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University services Teaching / training abroad (Erasmus+) Back Erasmus+ within Europe Erasmus+ worldwide Information for Back Prospective Students Current Students Staff Back Advice and help Computer and IT
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website: www.uni.lu/snt-en/research-groups/finatrax/ The selected candidate will be enrolled in the PhD program in Computer Science and Computer Engineering with specialisation in Information Systems (IS
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This is an exciting PhD opportunity to develop innovative AI and computer vision tools to automate the identification and monitoring of UK pollinators from images and videos. Working at