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of Research (2 pages): What research do you plan to pursue during the fellowship term? What do you plan to do at each stage, and what particular resources do you intend to use? What are the advantages
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cumulative period of three years in this type of fellowship, consecutive or interpolated; g) Not have previously held a postdoctoral research fellowship contract with P.PORTO; h) Candidates who obtained
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the ERC project Oecologie: The German Sources of Ecology. The doctoral researcher will join a dynamic interdisciplinary team of seven members: the Principal Investigator, two postdoctoral researchers, three
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PhD fellowship 2 – Alexander von Humboldt and French-German Networks in the Early History of Ecology
researcher will join a dynamic interdisciplinary team of seven members: the Principal Investigator, two postdoctoral researchers, three doctoral researchers, and one project manager, alongside associated
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: the Principal Investigator, two postdoctoral researchers, three doctoral researchers, and one project manager, alongside associated collaborators. • A vibrant intellectual setting, including regular seminars
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research. This is what you will be doing Contribute to the overall goals of the project through close collaboration with the PI and two postdoctoral researchers; Conduct original research, including data
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this phase is 80 points, calculated as the sum of the scores obtained in each of the following two sections. a) CV (maximum score: 60 points). Main criteria will be: Scientific and technical contributions
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 12 days ago
be contacted during the interview stage; h) Fluent (writing and speaking) in English. Preferential requirements for admission With previous postdoctoral experience (> 5 years) in computational
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2 Apr 2026 Job Information Organisation/Company Aalborg Universitet Department The Technical Faculty of IT and Design, Department of Computer Science, Section for Human Centered Computing Research
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-of-information methods to assess and improve the reliability of clinical prediction models and AI. Your colleagues: A VIDI project team with 2 PhD students and 1 postdoctoral researcher, supervised by Dr. Laure