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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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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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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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are seeking a postdoctoral researcher with a PhD in AI-based computational pathology, or related field, with experience in development or application of deep learning methodologies. Knowledge and expertise in
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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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. There will be considerable freedom in developing your own research projects based on the data we generate in the project. Qualification Requirements. We are looking for a candidate with a PhD and postdoctoral
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. PhD in a relevant field (e.g., logistics, supply chain management, operations management, engineering, or related disciplines). Experience with case study methodology and the ability to translate
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(including shifts during the night). Eligibility and Qualification requirements To be eligible for the posistion the candidate must have a doctoral degree (PhD) no older than 8 years, as required by