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Instituto de Telecomunicações, funded by FCT/MECI through national funds and when applicable co-funded EU funds under the UID/50008 - Instituto de Telecomunicações reference. The R&D work focuses on reducing
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quantitative discipline Minimum of 2 years’ experience in clinical trials or applied epidemiological research Strong statistical programming skills (e.g., R, Stata) Proven experience in developing Statistical
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Borkar: email aditi.borkar@nottingham.ac.uk . Please note that applications sent directly to this email address will not be accepted. Closing Date: 24 Oct 2025 Category: Research and Teaching (R&T) Where
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@nottingham.ac.uk ). Please note that applications sent directly to this email address will not be accepted. Closing Date: 03 Oct 2025 Category: Research and Teaching (R&T) Where to apply Website https
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address will not be accepted. Closing Date: 04 Oct 2025 Category: Research and Teaching (R&T) Where to apply Website https://academicpositions.com/ad/university-of-nottingham/2025/research-fellowa
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and scholarship into practical contributions for academia and public life. The Research & Design Studio: The Research & Design Studio (R&DS) is an interdisciplinary network that bridges scholarship and
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on incentive mechanism design. Help supervise PhD, master and undergraduate students, and R&D staff. Help with federated learning technical platform design and development. Help with collaboration with existing
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visualization of large data sets in R Strong written and oral English language skills If you do not already have educational competence that meets the requirements for a position as associate professor in Norway
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of the Foundation for Science and Technology (RBI-FCT), by the Research Fellow Statute (EBI), by the Norms for Grant Assignment and Management within R&D Projects, by the Code of Administrative Procedure (CPA), all
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Institute of Systems and Robotics-Faculty of Sciences and Technology of the University of Coimbra | Portugal | about 1 month ago
applications for one (1) Research Fellowship for MSc., in the framework of the R&D project “Prediction and Optimization of Energy Flexibility in Renewable Energy Communities”, with the reference COMPETE2030