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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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/assignment relevant to the subject area. Candidates who have worked in the lab of the main PI or Co-PI during their PhD and postdoc are not eligible. Step 1: Application The application should include: A
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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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may be taken into consideration. A suitable candidate will have a PhD in computer science, statistics, sociology, economics, political science or a corresponding subject of relevance to computational
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the produced spectral data. Scientific writing Qualification requirements Appointment to a post-doctoral position requires that the applicant has a PhD, or an international degree deemed equivalent to a PhD
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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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to illness, parental leave, clinical service, trade union duties or similar circumstances. The PhD degree should be in a computational or life science field, such as bioinformatics, ecology, mathematics
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required to have a PhD degree or a foreign degree that is deemed equivalent in Computer Science, or another subject of relevance for the project. Documented knowledge and proven research experiences in