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Integration of lifestyle, metabolic, and genomic data to refine early detection and prevention strategies Disparities research and risk modeling to optimize equitable deployment of new cancer screening
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cells, antigen-presenting cells, cell culture, immunological techniques, multicolor flow cytometry, scRNA analysis are highly desirable. Please include the following information with your Resume/CV: Cover
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excellent writing and communication skills, able to work independently but also effectively with other lab members. Please include the following information with your Resume/CV: Cover letter briefly
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oncology and health policy by providing rigorous training in the use of big data, advanced biostatistical methods, and econometric approaches, paired with dedicated mentorship from experts to advance
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advanced techniques such as CRISPR/Cas9 gene editing, protein biochemistry, mass spectrometry, and live-cell imaging. Analyze data, interpret results, and present findings at internal and external scientific
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well as close interactions with theoretical groups during the data analysis and interpretation. Your profile You have completed a PhD degree in solid state physics or materials science You have an excellent
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the contact information for 3 references to: Ken Kang-Hsin Wang, Ph.D., DABR Associate Professor CPRIT Scholar in Cancer Research Division of Medical Physics and Engineering Department of Radiation
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The Centre for Machine Learning within the Data Science and Statistics Section of the Department of Mathematics and Computer Science (IMADA) at the University of Southern Denmark invites
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biology techniques, cell culture, microscopy, tissue processing, immunohistochemistry, immunofluorescence, data analysis (gene expression data, flow cytometry data, etc). While our research is primarily
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regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status