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industry links and diverse environment create a collaborative setting where ideas grow into real impact. At the division of Data Science and AI , we develop data-driven methods and AI solutions that support
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The Faculty of Engineering and Health Sciences provides education and conducts research in engineering, health and information design, with a clear focus on addressing societal challenges. Our
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for all! Where to apply Website https://ki.varbi.com/en/what:job/jobID:938397/type:job/where:39/apply:1 Requirements Additional Information Work Location(s) Number of offers available1Company
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or senior staff scientist. More information: https://www.scilifelab.se/researchers/simon-koplev/ Qualifications Requirements A doctoral degree or an equivalent foreign degree. This eligibility requirement
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research experience in areas such as cybersecurity, AI-supported systems, data-driven security, or closely related fields; has experience in implementing, evaluating, or applying AI/ML-based methods
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applications, ethical review applications, data collection, analysis, scientific publication, development and testing of ICF-based approaches, and further development of a digital ICF platform. An important part
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, and Brillouin microscopy data as the starting point. Conduct an identifiability analysis to determine which new measurements are needed to separate confounded inputs. Design and interpret experiments
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are often software-intensive and we develop mechanisms to create better software for safer, more secure, and more usable systems. You will be supervised by Associate Prof. Rebekka Wohlrab, whose research
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, ROS) Solid skills in numerical analysis Advanced knowledge of computer vision Experience in human–robot interaction Particularly Meritorious It is particularly meritorious if the applicant has: A PhD
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well as a highly collaborative research environment. For more information about Nathaniel Street’s research group, see: https://www.umu.se/en/staff/nathaniel-street/ Project description Establishing robust