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that change? Then join us in this unique program! At SLU Uppsala, we are announcing the position as DDLS PhD student in Data driven evolution and biodiversity. Data driven evolution and biodiversity concerns
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-school/ The future of life science is data-driven. Will you be part of that change? Then join us in this unique program! At KTH, we are announcing the position as DDLS PhD student in Data driven cell and
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of life science is data-driven. Will you be part of that change? Then join us in this unique program! At KTH, we are announcing the position as DDLS PhD student in Data driven cell and molecular biology
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epidemiology and biology of infection, which is a fully funded, four-year PhD student position. Data-driven life science Research School Data-driven life science (DDLS) uses data, computational methods, and
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for Molecular Medicine (WCMM fellows), within the network Program for Academic leaders in Life Science, PALS, see https://www.palsnetwork.se . Subject area The position targets outstanding applicants with
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Referensnummer IFM-2026-00053 Work assignments This PhD position focuses on methodological and computational development in cryo-electron microscopy (cryo-EM), with emphasis on image reconstruction
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(Stockholm, Sweden) and the candidate will benefit from a strong (inter-)national network of collaborators in protease biology and computational proteomics. The successful candidate for this position will join
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across Swedish academia and industry. Applicants must hold a PhD (or equivalent) prior to the start of employment. For positions at Swedish universities, candidates should normally have obtained their PhD
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postdoctoral researcher will be involved into discussions within a broad range of fields including computational, medicinal and organic chemistry. Requirements PhD degree in biochemistry or structural biology
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responsibilities The positions involve primarily research within the described projects. The successful candidates are expected to develop new quantitative methods, implement and validate computational frameworks