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integration of AI-based vision and active machine learning to optimize the efficiency of the process. Writing publications and present research results from the project on conferences. Collaboration with
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. Teaching may also be included, but up to no more than 20% of working hours. The position includes the opportunity for three weeks of training in higher education teaching and learning. The purpose
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academic progression More information: https://www.scilifelab.se/researchers/simon-koplev/ Qualifications Requirements A doctoral degree or an equivalent foreign degree. This eligibility requirement must be
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applications, and publish research results in peer-reviewed journals. Qualification requirements The applicant is required to have a PhD degree in a field relevant to circular business models, digital
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transitions and universality for spectral statistics of random matrices and their applications in high-dimensional statistics, machine learning and probability theory. The Department of Mathematics at KTH
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and boundary-crossing collaboration with wider society. The Faculty’s research environment and PhD-education are markedly international and, alongside the professional law degree, the Faculty offers
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. Active participation in major international consortia. Support for career development, conference travel, and long-term academic progression More information: https://www.scilifelab.se/researchers/simon
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and machine learning, we collaborate globally to monitor environmental change and support a sustainable future. About the research project The postdoc will work at Chalmers University of Technology in a
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Experience in machine learning Knowledge of SDN and NFV Knowledge of basic TCP/IP protocols What you will do Conduct high-impact research and publish in leading journals and conferences Shape research
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Ph.D. degree or a foreign degree equivalent to a PhD degree in a relevant field. The degree must be completed no later than the time the employment decision is made. The doctoral degree should