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Railway Engineering is seeking a motivated and collaborative postdoctoral researcher for a project on developing machine learning tools for pavement management. The project is conducted in collaboration
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preparation (for example, questionnaires, interviews, etc) and processing (for example, machine learning etc) for the DSS, with related documentation. In OPTIX, contributing to the digital twin models
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, regression models or machine learning. Applicants from clinical hepatology with experience in the above fields can also be interesting. You will work in an interdisciplinary and international research
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research agenda covers a gamut of security and privacy problems, both from an offensive as well as a defensive perspective especially along two themes: “Platform security and application”s and “Machine
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. The main research problems include mathematical theory, algorithms, and machine learning (deep learning) for inverse problems in artificial intelligence, as well as application to medical problems. About the
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at the intersection of artificial intelligence, robotics, machine learning, and human-robot interaction. Project description The focus of the project is machine learning and specifically the development of novel neuro
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series data. Large data sets come with significant computational challenges. Tremendous algorithmic progress has been made in machine learning and related areas, but application to dynamic systems is
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activities are summarized here: https://www.eecs.kth.se/nss . Qualifications Requirements A doctoral degree or an equivalent foreign degree. This eligibility requirement must be met no later than the time the
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look forward to receiving your application! We are looking for up to two PhD students in trustworthy machine learning, with a particular focus on cybersecurity, privacy, and verifiability for AI systems
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be in advanced courses in computer science, mathematics, AI, machine learning or similar. Alternatively, you have gained essentially corresponding knowledge in another way. The applicant is expected