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have obtained a PhD degree in a relevant field and have a PhD-age of max 4 years per October 1st , 2024 (parental leave deducted). The postdoc candidate will be affiliated with the Philosophy Section
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date is 1 Januar 2026, with room for flexibility in both directions. We are seeking a highly motivated individual with a PhD in computer science, computational chemistry / biochemistry, applied
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developed algorithms with the designed hardware in the best way. Document design specifications, and design trade-offs clearly. Qualifications Applicants should hold a PhD in electronics, computer engineering
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directed to Associate Professor Helle Strandgaard Jensen (hs.jensen@cas.au.dk ) Qualifications A PhD in History, Cultural Studies, Anthropology, Sociology, Media Studies or related areas focusing on modern
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Two postdoc positions on the ecology and physiology of microbial key players exposed to oxygen de...
and energetic constrains ammonia-oxidizing and methane-oxidizing microbes exhibit under oxygen depletion (and while producing oxygen) including single cell activity assays. Applicants should have a PhD
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facilities in imaging, immunology, tissue engineering, and bioinformatics. Qualifications We seek applicants with the following qualifications: Essential: PhD in molecular biology, immunology, biochemistry
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two PhD students in the groups, and your newly developed tools will support the analysis and interpretation of their data. You will interact strongly with several international collaborators, both
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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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by clicking APPLY NOW below. Please include Curriculum vitae Diplomas (Master and PhD degree or equivalent) Research plan – description of current and future research plans Complete publication list
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contribute to development of research grant applications. Your profile The applicants should hold a PhD in structural dynamics with focus on data-driven methods (e.g., for input/state/parameter estimation) and