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will also be heavily involved in the development and operation of LHCb’s heterogeneous software trigger system. The successful candidate will focus on analysis of Run 3 proton-proton and heavy-ion data
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collaboratively. Preferred Qualifications: Proficiency in spectroscopic methods, data analysis, and scientific programming will be advantageous. Department Contact for Questions Questions can be directed to: Prof
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Biology — enormous advances in global genome analysis coupled with unprecedented developments in interdisciplinary research have made the 21st century the Century of Biology. For more information about the
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interests in social network analysis, data informatics, and developing, and implementing applied research projects aimed at improving reach and effectiveness of behavioral health services for young people
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. The postdoctoral fellow will be responsible for conducting the chemical analyses but is also expected to take an active role in the project that will include data analysis and manuscripts preparation
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technology. Spatiotemporal analysis of individuals' usual environment and stressor experiences. The role of stress and environment in healthy aging and diseases like Alzheimer's disease, dementia, and cancer
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review and analysis. Oversees the proper handling of laboratory specimens including processes, shipping, storage, and documentation and transfer to designated central laboratories. Conducts data quality
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neuroimaging and fluid biomarkers, (b) systems biology analysis of pathways from multi-omics data using multi-layered network approaches, © machine learning for identification of genetic risk factors in ADRD, (d
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following areas: human neuroimaging analysis (e.g., FSL, FreeSurfer, SPM12, ANTS, etc.), complex network analysis (e.g., modularity, centrality, etc.), and multi-omics data analysis. Strong programming skills
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the potential for publication in high impact factor journals. Indiana University School of Medicine – IUSM is committed to being an institution that reflects the learners we teach and the patient populations we