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join the group to develop AI and machine learning based software to assist clinical workflow and pre-clinical studies. Required Qualifications: Ph.D. in a physical science or engineering field Strong
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reliable system data for cybersecurity monitoring and forensic analysis. About us The Department of Computer Science and Engineering , a joint department of Chalmers and the University of Gothenburg, spans
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responsible integration of AI code assistants (e.g. GitHub Copilot, ChatGPT, Claude, Gemini, open-source LLMs) in professional software engineering workflows. The research focuses on analysing security and
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on technology issues which have significant impact on the Student Financial Services Department, with responsibility for coordinating and deploying technology solutions to end users. Incumbents regularly work
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, electrical engineering, software engineering, engineering physics, neuroscience, or a related field plus (6) years’ experience in biomedical engineering or related field; Master’s degree in biomedical
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: laser diodes, photodetectors, and oscilloscopes • Use of specialized software for data analysis and processing • Fundamentals of optical fiber engineering at 1.55 micrometers
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the fields of research, teaching, science and society, knowledge and technology transfer, inventions and patents, software development or spin-offs. The position is a tenure track position leading
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to complete/correct incomplete applications. The University is not liable if the portal is overcharged, due to the net or to the software itself. Website for additional job details https://www.unibz.it/en
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of Science and Technology (NTNU) for general criteria for the position. Preferred selection criteria Practical experiences with networked systems and multi-vendor softwarized environments Exposed to hands
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 18 days ago
data of human and non-human primate brains, utilizing the novel technology pipeline established by the Chung Lab, including tissue processing, molecular probe staining, and volumetric data acquisition