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the genetic architecture of proteins, protein interactions, and RNAs. A key component of this work has been the development of computational methods for analyzing deep mutational scanning data and for fast and
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to national food security and the digital transformation of agriculture. We warmly welcome outstanding talents from around the world to join the College of Artificial Intelligence and work with us to shape the
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management and operation support, and expert assistance with paper or book publishing. Founders welcome! Experienced one-stop support from filing patents to securing funding and launching startups. You are in
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electrochemical testing. Operation of X-ray diffraction (XRD) instrumentation for phase identification and crystal structure analysis. Support in the characterization of materials using complementary analytical
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mentioned above. The requirements for the length of working can be appropriately relaxed for those who have obtained a doctorate degree overseas and have exceptional performance; Obtain scientific research
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-based principles. The successful candidate will train, benchmark, and develop deep learning architectures. They will work in high-performance computing environments and apply expertise in statistical
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the analysis of experimental data, the validation of sensing platforms, and the maintenance of accurate laboratory records in accordance with FAIR and Open Science principles. The researcher will work closely
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(Raman, CQMB, AFM, etc.) o Experience in programming (LabView, Python, C++, Matlab) o Teamwork skills o Fluent English both spoken and written Summary of conditions: Full time work (37,5h/week) Contract
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, pharmacy, or a related field. Previous laboratory experience and careful experimental documentation are essential. Proactive, reliable, and able to work independently. Available to support the project
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application are available here . The deadline for applying is 12 October 2026. Recruited candidates would start their work at EMBL latest by October 2027. EMBL is a signatory of DORA. Find out how we implement