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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 2 months ago
should focus on the activity of the last five years that the candidate considers most relevant. The five-year period may be extended by the jury, at the candidate’s request, when justified by suspension
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, you may be considered if you can document that you are particularly suitable for a PhD education. You must meet the requirements for admission to the faculty's Doctoral Programme (https://www.ntnu.edu
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with the professor, you will write publications (in German and, if necessary, English) in specialist journals and contribute to legal commentaries Teaching and participating in innovative courses: You will teach
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Independent teaching Student supervision and scientific publications Ongoing professional development and training Organisational and administrative tasks Your profile Completed relevant master degree
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) Independent teaching Student supervision Training and professional development Organisational and administrative duties Your profile: A completed diploma degree or masters degree in computer science or related
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Independent teaching Student supervision and scientific publications Ongoing professional development and training Organisational and administrative tasks Your profile Completed relevant master degree
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development and conducting high-quality empirical investigations, writing and reviewing scientific publications, and other duties including teaching and outreach. The position is for four years, full time, on
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, most of the regional research activities in a broad range of scientific fields, from the physics of materials and nanostructures to telecommunications, acoustic instrumentation, and microwave
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& University Liaison Office that can be contacted at phdszn(at)szn.it. Website for additional job details https://szn.it/index.php/it/bandi-e-concorsi/bandi-di-concorso/ph-d-program/ph-… Work Location(s) Number
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-to-confidence set conversion' framework recently proposed by the PI (Principal Investigator). The models of interest include deep neural networks with multiple layers and non-linear activations, extending recent