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Field
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for tomorrow’s machine learning. Your job In the ERC project FoRECAST, we aim to develop theory (e.g., new probabilistic and differential inference algorithms as well as proofs of their correctness and efficiency
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comparative framework across country case studies. Communications & Engagement Present research findings at international conferences and workshops. Author blog posts and contribute to the project’s website
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develop a radically new paradigm for human control of complex robotic systems with high levels of agency and minimal cognitive effort. The lab is looking for candidates for the following stipend: PhD
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Intelligence (AI) and machine learning (ML) techniques. You will develop AI-based predictive models to anticipate user engagement, primarily using data collected through unobtrusive measurements (e.g., websites
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superconductivity, mesoscopic phenomena and nanotechnology (for more info see http://ekmf.fysik.su.se ). The current project is focused on the development of future superconducting quantum electronics and
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comparative framework across country case studies. Communications & Engagement Present research findings at international conferences and workshops. Author blog posts and contribute to the project’s website
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in Austria. We are seeking a PhD candidate on predicting adherence to digital health-promoting interventions with Artificial Intelligence (AI) and machine learning (ML) techniques. You will develop AI
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. Next to your PhD research, you will contribute actively to the activities of IViR, for instance by participating in workshops, organizing lectures and contributing to joint activities. To develop your
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development activities and all other scientific and technical activities within the scope of the missions of the respective Organic Unit and of U.Porto regularly [Article 7(2) of Regulation 487/2020 of 22 May
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at UPC, are seeking for a PhD student in the area of Sustainable Organic Chemistry within the European project NEO-CYCLE (Grant agreement 101138058) The doctoral thesis will focus on developing innovative