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, image computers, install operating systems and applications, adjust configurations, and setup accounts Deploy technology equipment, move, deliver, and setup hardware to user requirements Update inventory
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subject to the CBC policy? No Job Description Join the ECU Work+ Cohort for an immersive four-year work experience tailored to your field of study. * This program builds skills each semester, enhancing your
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degree in Computer Science/Computer Engineering. Possessing a Master’s or PhD degree will definitely be advantageous. Knowledge of machine learning, pytorch, huggingface etc... Knowledge of image
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a strong background in artificial intelligence and 3D computer vision, with solid programming skills and an interest in 3D data processing (e.g. point clouds and neural scene representations), along
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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
application process here. About the position The Department of Department of Mechanical and Industrial Engineering is offering an exciting PhD position within the Norwegian Maritime AI Centre , a national
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scholarship with teaching. Laboratory space and start-up funds are available for establishing a research program. The Department of Biology has excellent facilities to support faculty research and teaching
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understudied, but common phenomenon and building bridges to the clinic. Where to apply Website https://www.academictransfer.com/en/jobs/363083/postdoc-myelin-imaging/apply/ Requirements Specific Requirements
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), an interdisciplinary MRC‑funded programme based in the Faculty of Biology, Medicine and Health. This role offers an exciting opportunity to contribute to cutting‑edge translational research aimed at improving the safety
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optical computers. Where to apply Website https://www.polimi.it/en/bandi-per-i-ricercatori Requirements Research FieldAgricultural sciences » OtherEducation LevelPhD or equivalent Specific Requirements
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processing, cell and bacterial culture, and imaging workflows underpinning studies of disease progression and treatment response. This work sits within a wider programme applying tissue-engineered, in vivo