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Christian Lyhne Ibsen (cli@faos.dk ). Qualifications We seek candidates with the following qualifications: A PhD in Political Science, Sociology, Political History, or a related field (completed or near
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evaluation process etc please visit: ambercofund.eu Qualification requirements Minimum requirements are: candidate needs to have a maximum of 8 years after a doctoral degree (PhD), as required by the project
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Independent problem-solving skills Excellent communication and language skills (English) Experience with collaborations and team-based work style As a formal qualification, you must hold a PhD degree (or
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, you must hold a PhD degree (or equivalent). We offer DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a
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evaluation process etc please visit: ambercofund.eu Qualification requirements Minimum requirements are: candidate needs to have a maximum of 8 years after a doctoral degree (PhD), as required by the project
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-band. We are looking for two postdoctoral researchers, who have excelled in the PhD projects and/or previous postdocs positions to join our team working towards demonstrating chip-scale quantum light
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and glycan-based vaccines. Undergraduate and PhD research projects can be integrated into the projects, and you are expected to interact with and co-supervise those projects. Additionally, some teaching
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language is beneficial. As a formal qualification, you must hold a PhD degree (or equivalent). We offer DTU is a leading technical university globally recognized for the excellence of its research, education
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conferences and journals As a formal qualification, you must hold a PhD degree (or equivalent). We offer DTU is a leading technical university globally recognized for the excellence of its research, education
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applicants regardless of their personal background. Qualifications and the selection process Applicants for this position must hold a PhD degree (or equivalent level of education) in bioinformatics, data