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- excellent command of English (spoken and written), sufficient for preparing scientific publications and presenting research results at conferences, - knowledge of machine learning methods, - sufficient
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of seven departments in the Faculty of Information Technology and Electrical Engineering . Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/307240/phd-candidate-in-machine-… Requirements
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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
for the position. Preferred selection criteria Experience with machine learning or other relevant AI technologies Scandinavian language skills Previous experience from industry or research in engineer-to-order
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systems are generally ill-conditioned. The project sits at the intersection of classical numerical analysis, scientific machine learning and computational chemistry. Based on regularization techniques and
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, interaction design, Human-Computer Interaction, human-centred AI, UX research, immersive or interactive media, and other related areas. Teach and supervise topics in the Bachelor’s and Master’s programmes in
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quantitative measurement to these system -from single molecules and nanoparticles to living systems, enabled by advances in instrumentation, spectroscopy, mass spectrometry, microscopy, and machine learning
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relevant PhD (or equivalent qualification/experience) awarded prior to commencing the appointment Ability to develop a coherent world-leading research programme Ability to plan and build a team and deliver
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to their work. About You We encourage applications from individuals with a wide range of backgrounds and experiences. You should demonstrate: Essential Criteria: A relevant PhD (or equivalent qualification
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Business, Business Analytics, Machine Learning/Deep Learning/Reinforcement Learning, Advanced topics in AI, and other technical courses) in the undergraduate and master’s programs. Research in IS pedagogy is
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check the minimum entry requirements for the PhD . Applicants must also satisfy Monash’s English Language Proficiency requirements; Demonstrate knowledge of machine learning, medical image analysis