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mechanical/electrical/biomedical/human factors engineering or a related discipline Strong programming skills (e.g., Python, R) Experience with data processing and analysis Knowledge of statistics, or a strong
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• A PhD in environmental engineering, computer science, data science or similar • Highly motivated, detail orientated and committed with a keen interest in creative and multidisciplinary research
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enquiries please contact Dr Lauren Lee at: lauren.lee@ucl.ac.uk For further information on the MPhil/PhD course as well as the recruitment and selection process, please click on the link below: https
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PHD title: Experimental study of strengthening the fire performance of ventilated facade systems PHD Country: France Where to apply Website https://www.abg.asso.fr/fr/candidatOffres/show/id_offre/137171
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position within a Research Infrastructure? No Offer Description Project description Third-cycle subject: Electrical Engineering Photonic Integrated Circuits for Sensing and Communication Photonic integrated
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Continuous Catalyst Manufacturing process towards more sustainability School of Chemical, Materials and Biological Engineering PhD Research Project Self Funded Prof Agba Salman Application Deadline
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 27 days ago
of enrollment at an academic degree course (PhD); v) motivation letter; Applications must be submitted to the email: c.guedes.soares@centec.tecnico.ulisboa.pt Where to apply E-mail c.guedes.soares
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 27 days ago
degree course (PhD); v) motivation letter; Applications must be submitted to the email: c.guedes.soares@centec.tecnico.ulisboa.pt Where to apply E-mail c.guedes.soares@centec.tecnico.ulisboa.pt
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The School of Mechanical & Aerospace Engineering (MAE) is a robust, dynamic and multi-disciplinary international research community comprising of world-class scientists and bright students. MAE
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engineering or a related discipline Strong programming skills (e.g., Python, R) Experience with data processing and analysis Knowledge of statistics, or a strong willingness to learn A genuine interest in