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Classification Title: Postdoctoral Associate Job Description: Join a dynamic structural biology group, where we push the boundaries of molecular visualization and membrane biology. Our lab
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on methodological development in cryo-electron microscopy (cryo-EM), particularly in image reconstruction and 3D volumetric analysis of macromolecular structures. Rather than aiming to incrementally optimize existing
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for PhD students and postdocs. Learn more at: https://www.muoniverse.ch/ Who we are looking for Muoniverse positions often serve as bridges between individual research groups and institutions, supported
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the Work Control Supervisor. Drawing on working knowledge of construction trades, building materials, structural components, and electrical and mechanical systems, the incumbent meets with department heads
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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI INGEGNERIA CIVILE, CHIMICA, AMBIENTALE E DEI MATERIALI | Italy | about 1 month ago
. Structural optimization and numerical modeling. Where to apply Website http://www.unibo.it Requirements Additional Information Eligibility criteria to apply for research grants fill out the form available
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operations and performance optimization in FCC-ee” Where to apply Website https://reclutamento.dsi.infn.it Requirements Research FieldEngineering » Computer engineeringEducation LevelMaster Degree
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for Biology) Lab led by Dr. Christoph Gorgulla within the Center of Excellence for Data-Driven Discovery in the Structural Biology Department of St. Jude seeks a skilled and highly motivated wet lab Scientist
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and research institution. In the research area, this structure in particular enables the direct implementation of a translational research approach from basic research to clinical application. Your
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: 3 months Objectives Development of learning models for spatiotemporal data applied to the optimization of multimodal transport networks in medium-sized cities, incorporating explicit criteria
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the marginal effects of individual auditory characteristics on the probability of product choice. Willingness to pay will be estimated based on experimental data using structural preference modeling