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with a PhD in computer science or bioinformatics are encouraged to apply. We create statistical, machine learning, and deep learning approaches for the processing of this data, with a major focus on
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Possesses a high degree of initiative Ability to build strong customer relationships Knowledge of and ability to apply quantitative research skills Familiarity with and openness to learn qualitative and mixed
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related to battery materials, correlated electron calculations, including via DFT+U, supercells, dynamical mean field theory or experience in defect and/or alloy calculations, machine learning, and other
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Location Indianapolis Position Summary Are you passionate about genomics, big data, drug discovery, and AI/machine learning? Interested in advancing cutting-edge multi-omics research to explore genetic and
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Qualifications Experience with machine learning and AI models. Ability to communicate clearly with colleagues, Data presentations Scientific publication experience Special Instructions Priority Application Review
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. Department Contact for Questions Miranda Lockwood, SHRM-CP Human Resources Business Partner mjlockwo@iu.edu Additional Qualifications Experience with machine learning and AI models. Ability to communicate
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machinery and computer programs. Tests and sets up lab equipment. Collects data and prepares reports based upon established protocols. Attends and participates in departmental meetings. Orders, receives, and
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initiative Ability to build strong customer relationships Strong knowledge and ability to apply qualitative and/or quantitative research skills Familiarity with and openness to learn new qualitative and mixed
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pathology on computational, molecular, cellular, preclinical and translational levels. A spectrum of scientific methods includes state-of-the-art multi-omics approaches, machine learning and implementation
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on understanding how organs communicate to each other using the Drosophila (fruit fly) ovary and intestine as models. This position provides an excellent opportunity to continue scientific learning, develop research