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reporting about the techno-economic analysis (TEA) and life cycle analysis (LCA) of the upscaling of the manufacturing of flexible perovskite solar cells. The goal being to evaluate and stimulate
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of innovative single-cell multi-omics methods. In this role, you will design methods, execute experiments, analyze data, and collaborate closely with our interdisciplinary team. This position offers
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well as experience working with high-performance computing clusters. The successful candidate will be a team player, collaborating closely with other bioinformaticians, as well as cancer cell and molecular biologists
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criteria The candidate must have a PhD in a relevant discipline (Molecular Biology, Biomedical Sciences, Biomedical engineering). Candidates must have experience in cell culture. Experience in spheroids
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, collaborating closely with other bioinformaticians, as well as cancer cell and molecular biologists, clinicians and pathologists. Profile Essential Requirements PhD in Bioinformatics, Computational Biology
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talented and highly motivated PhD candidate to join our enthusiastic team on single cell multi-omics glioblastoma research. Specifically, you will implement and optimize methodologies (cutting-edge
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innovative employers in the region. With more than 6000 employees from 100 different countries, we are helping to build tomorrow's world every day. Through top scientific research, we push back boundaries and
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-organoid imaging? We offer you full-time contract of 1 year to jointly prepare a competitive external funding application for a Postdoctoral Fellowship. The Faculty of Pharmaceutical, Biomedical and
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-existing cell-based assays but also involving new assay development and optimizations. You will work in a sub-team jointly led by a PhD student and senior technician. We look for a candidate comfortable in
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, organoids emerged as an attractive middle ground between 2D cell cultures, which do not fully recapitulate the 3D environment and animal models, which pose technical and ethical limits. In particular