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, the Senckenberg Gesellschaft für Naturforschung (SGN) is one of the world’s major research institutions in the field of biodiversity. At our twelve sites in Germany, scientists from over 40 nations conduct cutting
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references, and one or more writing samples (published or in press). Materials should be attached to the application and sent electronically to Dr. Raeshan Davis, Research Scientist and HHMI Program Manager
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for computational fluid dynamics, contributing to innovative solutions in healthcare software systems. Develop fast algorithms/ theory for eigenvalue problems. Collaborate with research scientists, engineers, and
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of innovation in physical sciences, create collaborations and new avenues in life science which will lead to new therapeutics and advance our understanding of human biology. If you are a creative scientist who
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, and agent-based modelling have paved the way for innovative collaborations between social scientists and computer scientists that jointly seek to answer fundamental questions of the social sciences and
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embark on a program of independent research with the primary goal to new electrosynthetic reactions applicable to organic synthesis. Duties will include conducting laboratory work centered around
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methods towards improving our understanding of unique target materials. You will be working with scientists, engineers, technicians, and safety and quality assurance staff to support material testing and
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(IRACDA) program . This comprehensive program offers 3 years of support to outstanding candidates seeking postdoctoral research training along with an opportunity to obtain mentored teaching experience in a
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crystallography and cryo-electron microscopy (cryo-EM) is desirable, however not required. The selected candidate will obtain appropriate training in crystallization and crystallographic computing, microscope
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strong background in circuit neuroscience but will also consider scientists with a strong computational preparation and some neuroscience background. Prior experience with connectomics data