333 structures-"https:"-"https:"-"https:"-"https:"-"https:"-"Robert-Gordon-University" positions at Nature Careers
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strengthen organizational efficiency. If you are a dependable professional who leads by example and excels at creating structure, organization, and accountability, we want to meet you. The Administrative
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Cryo-EM Molecular Structure Research Center (featuring China's first Krios 5 microscope) Recent breakthroughs: 18 high-impact publications in Nature , Science , and Cell on agricultural genomics and
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topics in biochemistry, structural biology and bioinformatics. With 32 faculty members and over 200 graduate students and postdoctoral trainees, research programs are conducted around five major themes
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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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Research Assistant in Physical Computing and Wearables at the Department of Computer Science, Aar...
of Professional Associations. Further information on qualification requirements and job content may be found in the Memorandum on Job Structure for Academic Staff at Danish Universities . Salary depends
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technologies (OpenStack, Singularity, Docker, Kubernetes, etc.). You are fluent in spoken and written English; German language skills are a plus. Your working style is structured, systematic, and strongly
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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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lab experience in tissue handling and immunostaining Structured, reliable, and independent work style Team player with enthusiasm for interdisciplinary science This position has a fixed term, depending
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and drug delivery Structured, independent working style with ability to work collaboratively in an interdisciplinary team Desirable qualifications Experience with peptide design or in silico tools is a
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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