49 algorithm-development-"Multiple"-"Prof"-"Prof"-"Simons-Foundation" "U.S" Fellowship positions at University of Michigan
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designs and methods, clinical trial methods, Bayesian methods, and developing R packages and scalable algorithms. Opportunities for collaboration across the Department of Biostatistics and the Medical
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Medicine and Bioinformatics. The specific objectives of the project are to (i) deploy network analysis methods to genomic data (50%), and (ii) develop such algorithms including community detection algorithms
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-doctoral fellow are not eligible to apply. Fellowships are open to U.S. and non-U.S. citizens providing they are eligible for an academic visa in the United States. Fellows are appointed for two years in
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methodology development as well as applied cancer bioinformatics in a variety of disease sites, including the incorporation of statistical, machine learning & QML ideas. Multiple collaborative opportunities
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development in Neurodevelopmental disorders associated with altered chromatin regulation. The candidate will participate in multiple NIH-funded projects that explore disease mechanisms in rodent and human
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. Job Summary Weil Institute Postdoctoral Data Scientist Role Description The Weil Institute is in search of a Postdoctoral Fellow to develop predictive analytics that will help improve the treatment
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leading multiple research initiatives that leverage imaging and computational methods to address critical challenges in urology. Ongoing efforts include the development of dynamic contrast-enhanced
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control strategies. Develop and implement advanced control algorithms for real-time operation and performance enhancement of power electronic converters and transformer-based solutions. Perform hardware-in
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required to describe the evolution of the labor share and the compensation gap between production and non-production workers at the establishment level over time. The estimation of a variety of complex
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mechanisms at molecular and cellular levels. Postdoctoral fellows will join a supportive, inclusive environment and contribute to exciting research while developing their own independent research programs