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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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Department of Chemistry and Chemical Engineering , contributing to a highly interdisciplinary research setting. We seek candidates with the following qualifications: PhD in materials science, physics, polymer
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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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proteins or related research questions. Your major responsibility is to perform research, but the position may also include teaching in the form of supervision of MSc students and junior PhD students
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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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pages). A curriculum vitae that documents academic education and past and previous employments. A list with your publications. A copy of the PhD certificate and other relevant degree certificates. Names
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list with your publications. A copy of the PhD certificate and other relevant degree certificates. Names and contact details with e-mail addresses of two or three academic references. Other relevant