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Field
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description The postdoctoral project is focused on development and the exploitation of machine learning tools to accelerate the analysis of microtomography data at the MAXIV synchrotron facility. MAXIV
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new cures to the world's deadliest diseases and make life beyond cancer a reality. At Fred Hutch we value collaboration, compassion, determination, excellence, innovation, integrity and respect. Our
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will focus on the prediction of genetic interaction networks and image analysis for automated phenotyping. We welcome interest in developing both ongoing and novel research projects in the lab, and are
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general predictive modeling methods, including model design, parameter estimation, sensitivity analysis, and model evaluation. An understanding of data acquisition and curation methods for real-world data
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general predictive modeling methods, including model design, parameter estimation, sensitivity analysis, and model evaluation. An understanding of data acquisition and curation methods for real-world data
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of psychopathology and their genetic and neural correlates. Current studies examine aspects of decision-making, motivation and the ability to resist urges in multiple disorders including, externalizing disorders and
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and advancing vaccine and therapeutic design for cancer and other diseases that affect both humans and animals. The successful candidate will be involved in the structural analysis of antigens
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ED data acquisition, analysis and use of in situ liquid and electrochemical TEM experiments, under the supervision of Professor Joke Hadermann. EMAT is one of the leading electron microscopy centers
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ED data acquisition, analysis and use of in situ liquid and electrochemical TEM experiments, under the supervision of Professor Joke Hadermann. EMAT is one of the leading electron microscopy centers
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ED data acquisition, analysis and use of in situ liquid and electrochemical TEM experiments, under the supervision of Professor Joke Hadermann. EMAT is one of the leading electron microscopy centers