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next generation of scientists and build a workforce equipped with expertise in integrating advances in biomedical engineering, technology, and Artificial Intelligence (AI) and Machine Learning (ML
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scheduled classes of contracted course(s). Use technology such as Canvas, PowerPoint, etc. as appropriate. In event of emergency absence, notifies program/department chair. Looking for adjuncts to teach
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relevant areas (e.g., software engineering, cybersecurity, program analysis, machine learning), as evidenced by transcripts. Relevant professional or research experience in software security, static analysis
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Responsibilities: The successful candidate will be expected to teach undergraduate and graduate courses at all levels of the computer engineering curriculum, develop new courses that align with their area of
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hours to provide support. The CEG IT Technician also partners with the Learning Spaces Audio/Visual Technology (LSAVT) team to provide support and management of all Windows, MacOS, Android, and iOS
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) Number of offers available1Company/InstituteDepartment of Computer Engineering of the University of Coimbra CountryPortugalState/ProvinceCoimbraGeofield Contact City Coimbra Website https://www.uc.pt
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technologies, such as low-power long-range (LoRa) and high-throughput, low-latency technologies (5G). In the context of machine learning, communications play a central role in data sharing and in the decision
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educational technology, digital tools, and online learning management systems. Strong verbal and written communication skills. Collegiality. Preferred Qualifications: Ability to teach courses aligned with
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StartingResearch Grant(s) (SRG) in the scope of R&D Institute of Electronics and Informatics Engineering of Aveiro (IEETA), UID/00127/2025 under the following conditions: 1. Scientific Area: Computer Engineering or
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approaches for modeling biosystems andanalyzing biotech datasets. A core technology employed by the center’s researchers is deep machine learning, which supports the creation of innovative concepts