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the potential for publication in high impact factor journals. Indiana University School of Medicine – IUSM is committed to being a welcoming campus community and we seek candidates whose research, teaching, and
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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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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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research projects aimed at improving reach and effectiveness of behavioral health services for young people are encouraged to apply. The fellow will actively participate in implementation, data analysis, and
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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
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relevant analytical techniques (NMR, SXRD, mass- spectrometry etc.) is essential. The preferred candidate will have a deep understanding of the chemistry of the main group elements. Department Contact
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) plus research experience. Experience of neuroimaging data analysis is strongly preferred. The candidate is expected to be highly motivated and to have a record of publications in the area of pain and