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Requisition Details GENERAL REQUISITION INFORMATION EEO Statement: UNMC is an Equal Employment Opportunity Employer, including an equal opportunity employer of protected veterans and individuals
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professionals, and a diverse team of researchers and key stakeholders to complete a range of activities, such as survey development, data collection, interviews, qualitative data analysis and manuscript
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: The postdoctoral researcher will contribute to ongoing research projects in computational modeling, multiscale simulation, and data-driven design of functional materials for structural applications. The position
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Network to evaluate the long-term effectiveness and implementation of Creating Active Schools in Bradford. You will co-coordinate large-scale quantitative data collection, lead a field team, engage schools
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phenotypic and transcriptomic data, bioinformatic and statistical analysis of data in a phylogenetic framework, mentoring of junior researchers, and manuscript preparation. The candidate will be responsible
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Associate Research Scientist / Post-Doctoral Associate in the Division of Science (Computer Science)
machine learning. The successful applicant will participate in research involving human computation, knowledge discovery, machine learning, and data science. The position will provide the opportunity
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the research group of Professor Alex Cowan in the Department of Chemistry and the Stephenson Institute for Renewable Energy you will create an integrated platform with comprehensive data logging, enabling
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at the MPG. These topics are also considered and implemented in the Max Planck Postdoc Program. Applications from people with severe disabilities are strongly encouraged. For more information about the Max
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to submitting your application, please review and update (if necessary) the information in your candidate profile as it will transfer to your application. Job Title: Post-Doctoral Researcher Department: Dentistry
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will also use focussed ion beam milling scanning electron microscopy (FIB-SEM) to prepare infected cells for in situ cryo-ET. The resulting tomographic data will be analysed by machine-learning assisted