167 algorithm-development-"Multiple"-"Prof"-"Simons-Foundation"-"St" Postdoctoral positions at Nature Careers
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develop more efficient ways to sustainably convert CO2 . This knowledge will be generated in a scale-bridging approach (from the atomic structure of enzymes to the systems level of the cell) through highly
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Are you a chemist or chemical engineer interested in biofuels and process development? The Department of Biological and Chemical Engineering invites you to apply for a two year position to
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Western Reserve University, is seeking a highly motivated Postdoctoral Researcher in Molecular Biophysics. The successful candidate will join a multidisciplinary team to develop and apply advanced time
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of teaching and research, the FSTM seeks to generate and disseminate knowledge and train new generations of responsible citizens in order to better understand, explain and advance society and environment we
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reproductive development. We work with the model species Arabidopsis and arable crops to understand how weather and climate variation affect reproductive development, crop yield and quality. We have a particular
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biology, epidimological data and AI-driven systems modeling. The successful candidate will develop and apply computational and machine learning approaches to decode the molecular and epigenetic mechanisms
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and reduction reactions. The research will focus on: Developing synthetic routes to robust new chelating and bifunctional ligands. Employing advanced spectroscopic, electrochemical and X-ray diffraction
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the department and across the university and join a cross-institutional research team focused on neuroscience, aging, and -omics data analysis. Responsibilities Develop and apply innovative machine learning
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The Avgousti lab is looking for motivated and enthusiastic post-docs interested in developing independent research ideas combining chromatin biology and molecular virology. Candidates should have a
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specificity. Targeted proteomics enables the simultaneous quantification of large cytokine panels, offering high multiplexing at reduced variability and cost. In this project, we aim to develop a novel