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, imaging techniques, and modeling of complex systems have created opportunities for exciting research careers at the interface between the physical/ computational sciences and the biological
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. Please indicate in your application which of the above listed projects is most intriguing for you. Your profile Eligible candidates have strong skills in computational molecular (bio)physics, statistical
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Passports (DPPs). This is to later leverage the acquired knowledge from these DPPs in human-robot cooperative re- and demanufacturing processes. As research activities scale and complexity increase in
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skills. Additional Merits Experience in one or more of the following areas will be considered a strong advantage: Single cell and spatial multi-omics analysis Complex Cellular Systems/ Organoid models
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activities. You bring significant prior relevant experience, such as: Designed complex data structures or schemas for real-world use, Deployed and maintained web-searched LLM systems, Built scalable data
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. Requirements: Completed university degree in computer science or applied mathematics, remote sensing, geophysics, physics, or related areas Expertise in computer vision and/or machine learning (deep learning