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Previous Job Job Title Temporary Post-Doctoral Associate (Stats Genetics/Omics) Next Job Apply for Job Job ID 371397 Location Twin Cities Job Family Academic Full/Part Time Full-Time Regular
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outcomes. The individual will be expected to develop stimulation strategies and testing algorithms, write code, and develop software. They will do extensive validation and testing, under the supervision
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-doctoral Associate will develop algorithms and theory for machine learning methods, as well as implement and apply ML methods to problems in domains such as computational biology and neuroscience. This is a
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across time and contexts. Job Description: You will develop and apply mathematical models and machine learning algorithms to analyze the structure and evolution of knowledge systems across different
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validate signal processing algorithms and stimulation strategies using electrophysiological and behavioral data. Develop GUIs, psychophysical test protocols, and objective outcome measures (e.g., ECAP, ABR
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. The UMGC Innovation Lab is a research group that operates within the UMGC and develops novel tools and technologies for genomics and genetics research. The researcher in this position will conduct
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of stable isotopes, mass spectrometry, and computational modeling to quantify in vivo metabolic fluxes in genetically-engineered mice. Under the direction of Curtis Hughey, the postdoctoral associate will
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outcomes ●casual representation learning for real-world data ● deep learning interpretation, fairness and robustness ●Regularly conduct computational experiments to execute algorithms on various health and
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Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job In this role, the postdoc will work on the genetic design and characterization of microbial systems aimed at controlling
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demonstrating ability to complete research projects. • Expertise in the following: flow cytometry, cell isolation from various mouse tissue, genetic manipulation of mouse lymphocytes (at least 3 years’ experience