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very large datasets of epidemic indicators, such as case surveillance data, cellular phone data, and mobility patterns. Qualifications: PhD in a quantitative field such as mathematics, network science
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and students. Evaluate and perform preliminary analysis of the data using graphs, charts or tables to highlight the key points of the research results collected in accordance with the research protocols
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dedicated research laboratories equipped for medical imaging analysis/morphometrics, forensic anthropology, thermoregulatory studies (environmental chamber), histology, and paleontological fossil preparation
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soft matter, with expertise in microscopy, optical imaging, and data analysis. Experience in building and working with optical traps will be highly rated in the selection process. The project also
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QUALIFICATIONS: • PhD in Electrical and Computer Engineering, Mechanical Engineering, Physics, or a closely related field. • Demonstrated expertise in MEMS/NEMS design and modeling, including finite element
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, breeding, genotyping, weaning, and general care, cell dissociations, cell culture, mouse surgery, mouse behavior, chemical and molecular assays, PCR, and RNA-sequencing. Contribute to data analysis and
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bioinformatics with at least one scripting language (R, python, bash) and expertise in high-throughput sequencing (ideally, including long-read sequencing) data analysis and statistical skills. Excellent written
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• PhD in environmental sciences, chemistry, biogeochemistry, hydrology, or a related field • Experience in environmental contaminant analysis • Strong data analysis and interpretation skills Preferred
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will include coordinating multiple aspects of the project, refining working hypotheses in light of new data, and contributing ideas for new research directions. The post-holder will be encouraged
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fellow in this lab will develop proficiency with advanced techniques in the structural and functional analysis of membrane protein complexes involved in neuronal signaling and signal transduction. For more