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, the incumbent will collect, process, and analyze field and laboratory data and help coordinate data collection and logistics. 60% (E) Research and Informal instruction Perform experiments planned in the different
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chain network analysis and geospatial modeling. The successful candidate will have strong data science skills, including experience working with large, complex data from varied sources, and machine
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, GEANT4) will be an advantage. A background in radiation oncology or medical physics will be an advantage. Excellent written and verbal communication skills. Experience with cloud computing and big data
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data Experience with GIS/RS and database environments (e.g., ArcGIS and Quantum GIS) Experience with machine learning and statistical learning Experience working with large, diverse datasets Familiarity
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productivity and scientific development by exploiting our group's large suite of crystal growth and characterization tools, as well as extensive collaboration and local scientific and technical expertise. Major
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Presentation skills Analytical skills Attention to detail Preferred Qualifications: Willingness to work with large animal models Experience with tissue culture and primary cell isolation Knowledge
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn't imagine the future, we invent it. If you're passionate about joining a community that challenges the
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Science, Environmental Science, Data Science, or other related fields Strong capabilities and demonstrated experience working with large climate datasets, high performance computing, and machine learning
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assessments. The CNS Lab is a vibrant team of cognitive neuroscientists, developmental psychologists, and clinical psychologist. The postdoc will process and analyze data, prepare manuscripts, and assist with
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and H100 GPUs, combined with pre-processed large-scale biobank data such as UK Biobank and ADSP, enabling you to work at the scale required for breakthrough research. The role offers exceptional