50 algorithm-development-"Multiple" "Prof" Fellowship positions at University of Michigan
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record of developing proficiencies in new skills. The candidate will engage with and lead research teams, including graduate students and undergraduate learners. The selected candidate may start
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in which they will acquire core skills in research methods including analytic skill development, manuscript writing, project management, and grant development through applied research as
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development, and through leadership activities in Michigan, nationally and internationally. Our mission is guided by our Strategic Principles and has three critical components; patient care, education and
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, populations and communities through excellence in education, patient care, community service, research and technology development, and through leadership activities in Michigan, nationally and internationally
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of Michigan and the world through preeminence in creating, communicating, preserving and applying knowledge, art, and academic values, and in developing leaders and citizens who will challenge the present and
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to neuron-glia communication, synaptic transmission, and neural circuit development in neurodevelopmental disorders (e.g., autism spectrum disorder). Assist in the writing of manuscripts, reports and
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excellence in education, patient care, community service, research and technology development, and through leadership activities in Michigan, nationally and internationally. Our mission is guided by our
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improves the health of patients, populations and communities through excellence in education, patient care, community service, research and technology development, and through leadership activities in
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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
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Medicine and Bioinformatics. The specific objectives of the project are to (i) develop mathematical and data analysis methods to analyze resilience, robustness, and tipping points of network dynamics, when