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Materialforschung und -prüfung (BAM) is a materials research organization in Germany. Our mission is to ensure safety in technology and chemistry. We perform research and testing in materials science, materials
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master's degree (or equivalent) and PhD in Mathematics/Statistics/Data Science Research expertise in the analysis of complex systems Familiar with network analysis, concepts of resilience (e.g. adaptive
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(AUH), where the newly developed therapeutic oligonucleotides will be tested in preclinical models. Applicants must hold a PhD in chemistry and have documented experience in organic synthesis and nucleic
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bioinformatics, and statistical modeling to decode the complex molecular mechanisms that shape human vision. By leveraging high-dimensional data and cutting-edge computational analyses, we aim to uncover
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leukemia ( Nature Genetics 53:672, 2021) Described novel mechanisms driving therapy resistance to FDA-approved therapies in myeloid leukemia ( Cancer Discovery 13:170, 2023) Discovered a glutamine
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quality, especially in AI+X domains, quantum technologies, materials and fabrication, sustainability, healthcare, etc. Possess a PhD in a STEM discipline. No more than 3 years of post-PhD research
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and contribute to a range of exciting collaborative projects and develop new projects. PhD in a relevant field is required. Strong track record of productivity is essential. Experience with biological
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researcher interested in studying human-associated microbial communities in health and disease. The ideal candidate has the following qualifications: A PhD degree in bioinformatics, computational biology
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with a PhD degree in Computer Science, Geoinformatics, Geography, Geology, Environmental Science or related fields. We look for the following specific qualifications: Thorough understanding
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Stage (MIS) 7 Publish key results in international journals and present them at scientific meetings Your qualifications: Master`s degree (or equivalent) and a PhD degree (or equivalent) in the (bio