314 structures-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL"-"UCL" positions at Nature Careers
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INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES, BETHESDA, MARYLAND The Section of Molecular and Structural Biophysics in the Laboratory of Chemical Physics, National Institute of Diabetes and
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, structured project planning and execution, and accountability for outcomes. This role offers a unique opportunity to establish an applied technologies team while collaborating across multidisciplinary teams
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range from cell biological over biochemical to molecular biology and bioinformatics approaches. Collaborations with structural biologists are possible. Your profile Applicants should hold a PhD in
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, material science, biophysics, structural biology or related disciplines with an interest and experience of advanced EM methods. You will have access to state-of-the-art instrumentation, including: a double
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, clinical, structural bioinformatics, other biomedical data. It should be outlined in the CV Demonstrated skills and knowledge in omics data analysis, biostatistics, machine learning, pathway and network
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), with a strong publication record in shotgun lipidomics. Profound knowledge of lipid structures and fragmentation rules. Solid understanding of the relevant concepts in mass spectrometry-based lipidomics
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target groups Strong organizational, time-management, and structured thinking skills Excellent knowledge of MS Office Fluent spoken and written German and English essential We Offer Excellent framework
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Intro: Are you interested in playing a role in groundbreaking science? Do you want to contribute to the development of laboratory techniques that help research understand cell structure, cell
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An independent, structured, and proactive working style with a strong motivation for continuous development We Offer Excellent framework conditions: state-of-the-art equipment and opportunities for international
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Learning with Graphs led by Prof. Nils M. Kriege. Our research focuses on the development of new methods and learning algorithms for structured data. Graphs and networks are ubiquitous in various domains