11 network-coding-"Chung-Ang-University"-"Chung-Ang-University" Fellowship positions at Indiana University
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density functional theory calculations in solids (i.e. use of codes such as Quantum Espresso and/or VASP), to work on correlated electron quantum materials. This will include performing calculations and
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to the IU retirement benefit package. We are interested in exploring the novel functional dimensions of human long non-coding RNAs (lncRNAs) in regulating human cardiovascular development, metabolism
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focus on honing expertise and research acumen in the areas of adolescent firearm injuries and death, mental health, traumatic stress, and defining trauma networks to identify children and young adults
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. Experience in Python code, Matlab, and LabChart. Knowledge of cardiovascular physiology. Department Contact for Questions Miranda Lockwood, SHRM-CP Human Resources Business Partner mjlockwo@iu.edu Additional
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the novel functional dimensions of human long non-coding RNAs (lncRNAs) in regulating human cardiovascular development, metabolism, function and disease. These new lncRNA functions include the broad
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system to determine cellular networks that lead to cell death and to establish molecules that can prevent degeneration. Experimental approaches being used in the lab include inner ear drug delivery, CRISPR
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Chronic Conditions (ADACC) Network. This consortium will consist of multidisciplinary investigators dedicated to developing evidence-based strategies for the use and implementation of biomarkers
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, Bloomington seeks a talented, highly motivated researcher with a background in medical sociology, social networks, sociology of aging, social neuroscience, social genetics/epigenetics, and/or quantitative
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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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fellows with special interest in human connectomics in Alzheimer’s disease (AD). The Lab’s overarching goals are 1) to achieve a better understanding of the brain network and neurophysiological mechanisms