260 structures "https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" positions at Nature Careers
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national and international collaborations and access to world-class infrastructure. Lab website: https://www.sahu-lab.com/index.html Department of Molecular Medicine (IMM) The Department of Molecular
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relating to studies involving integrating vectors or gene therapy techniques. LAB WEBSITE: jbowenslab.com ANNUAL SALARY, DEPENDING ON EXPERIENCE: $63,600 - $79,200 APPLY HERE: https://hr.rcuh.com/psc
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of Health and Medical Science and Faculty of Science at University of Copenhagen. The aim of the center is to accelerate protein design by gaining a deeper understanding of sequence-to-structure/function
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UTHSC Translational Science Research Building (http://www.uthsc.edu/pharmacology), which also houses researchers from the Departments of Physiology, and of Genetics, Genomics and Informatics. The
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petrology and/or structural geology. Expectations The appointee will develop their research within their chosen field in collaboration with colleagues both at Aarhus University as well as nationally and
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creating plants with various designer traits. In the last several years, we mainly worked on engineering bioluminescence in plants (https://light.bio/ ), and understanding structure-function relationship in
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research, and the capacity to translate this into shared priorities and strategy. You possess the skills to navigate complex governance structures, connect across disciplines, and build alignment between
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and experimentally demonstrate the potential of advanced optical materials for nanoscale photonics. Your role will involve using a variety of experimental techniques, including fabrication, structural
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materials design with advanced structural, spectroscopic, and electrochemical characterization methods to unravel how ions, charges, and molecular interactions govern doping efficiency and stability. By
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include but are not limited to: · Computational / algorithmic genomics · Algorithms and data structures for statistical inference over biological data · High/super