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taken into consideration. A suitable candidate will have a PhD in sociology, computer science, economics, statistics, political science or a corresponding subject of relevance to computational social
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, Verified copy of doctoral degree certificate or documentation that clarifies when the degree of doctor is expected to be obtained, Verified copies of other diplomas, list of completed academic courses and
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evaluation process etc please visit: ambercofund.eu. Qualifications Minimum requirements are: Candidate needs to have a maximum 8 years after a doctoral degree (PhD), as required by the project Grant Agreement
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- A CV including a list of publications - Proof of completed PhD - Contact details of two references Applications must be received by: 2025-08-23 Information for International Applicants Choosing a
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transcriptomics and genomics datasets. The goal is to identify molecular and spatial signatures of disease progression both in human samples and in experimental models of diabetes. Qualifications: PhD in
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, collect and analyze relevant data. Qualifications For this position, applicants must have a PhD in sociology or another discipline that is deemed relevant in relation to the research being conducted within
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expected to integrate existing and new datasets into publishable manuscripts. Your profile The successful candidate must have: - A PhD in a discipline such as Environmental Sciences, Ecology, Forestry
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education and to the educational programmes at MDU. A broad range of topics and perspectives are thereby possible (workplace-based learning, simulation in professional education, student characteristics etc
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participating in projects that collect and utilize agronomic data from forages and crop rotations, and (3) writing scientific publications and grant applications. Qualifications: Required: A PhD degree in a
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addition, you should meet the following requirements: Hold a PhD degree in biology, ecology, analytical chemistry or equivalent Educational and professional qualifications relating to the scientific area of