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current projects in 7 different species. The candidate will learn analytical techniques, including high-resolution re spirometry, multiplex assays using MesoScale Discovery, cryosectioning and
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. As a Carnegie Doctoral/R2 institution, our world-class scholars instruct about 26,000 students in associate's, bachelor's, master's and doctoral level degree programs. Whether you are seeking the charm
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) in the department and in the Great Plains IDeA-CTR network, and growing institutional strengths in AI, machine learning and clinical informatics. This is a unique opportunity to translate and expand
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participation has transformed STEM learning environments and workforces by asking fundamental questions about how well teaching practices, curricula, classrooms, student success cultures, workplaces, and career
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healthcare access and outcomes for high-risk patients. The postdoctoral researcher will play a key role in translating machine learning algorithms into professional software with an intuitive user interface
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Associates to join our team! UCCS offers a diverse and inclusive learning environment that fosters innovation, growth, and the holistic development of its students. At the base of the Rocky Mountains, Colorado
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proportional hazard models, repeated measures analyses, and hierarchical analytic methods required.). Excellent quantitative, technical, analytic, and applied research skills are required. Excellent written and
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diversification, and demand control strategies are quantified. The ideal candidate will have a PhD in engineering, science, or economics, with strong quantitative and analytical skills, and a background in energy
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role in our everyday behaviour. Having a belief seem true involves cognitive phenomenology; experientially taking a belief to be true when we first acquire it and if we later entertain it in thought
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Science and Quantum Computation Tensor Learning Team , Generic Technology Research Group, RIKEN Center for Advanced Intelligence Project (Team Leader: Qibin Zhao) Functional Analytic Learning Team