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demands. Teamwork: Ability to work collaboratively with others and contribute to a team environment. Technical Proficiency: Skilled in using office software, technology, and relevant computer applications
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Computer Science, Information Engineering, Computer Engineering, or related fields (or equivalent foreign degree). Candidates completing a PhD within 6 months may apply. Excellent English proficiency Up to 6
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healthcare. Required qualifications: MSc or PhD in Computer Engineering, Computer Science, Bioinformatics, or a related field Strong technical background in one or more of the following areas: artificial
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Engineering (Marine Technology profile) and the Nordic Master in Maritime Engineering. The research group consists of senior researchers, postdocs, and PhD students. During the project, the postdoc will also
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the Sydhavnen district—a dynamic hub for research and innovation. It hosts strong research groups in artificial intelligence, machine learning, software engineering, data science, and cyber-physical systems
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activities, including engagement with students and the broader public Your profile A PhD degree in Telecommunication Engineering, or Electrical Engineering, or Computer Science/Engineering with a focus on SDN
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The Kelly lab welcomes individuals with diverse career backgrounds – PhD-level scientists in any discipline with expertise in data and programming, or software engineers outside of academia looking to change
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engineering, or related disciplines who are passionate about applying machine learning to real-world clinical challenges. The successful candidate will lead the development and validation of predictive models
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to and lead some of the above tasks. Job requirements To be eligible to apply, you should: Hold an PhD in geoinformatics/geomatics, computer sciences or engineering (or in a related discipline), ideally
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(e.g., hardware development, software implementation in various processor platforms) is required. In-depth understanding of power electronics and its engineering constraints is required. Strong English