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Science or Intelligent Systems Engineering Department. We seek candidates who can teach and lead cutting-edge research in AI, including generative AI, to bridge biomolecular data—such as genomics and pharmaceutical
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information about ISCA and its current research, please visit: https://isca.indiana.edu Core Responsibilities: Research Pursue an independent, original research agenda in antisemitism studies, resulting in
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quantitative measurement to these system -from single molecules and nanoparticles to living systems, enabled by advances in instrumentation, spectroscopy, mass spectrometry, microscopy, and machine learning
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engages substantially with artificial intelligence, data science, or scientific machine learning. The successful candidate will have a primary appointment in Mathematics and opportunities to collaborate
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: Applicants should possess a PhD in Physics, Chemistry, Engineering, or a related field. A substantial record of research accomplishments, appropriate to rank, is required, and applicants should be committed
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. Qualifications: Applicants should possess a PhD in Physics, Chemistry, Engineering, or a related field. A substantial record of research accomplishments, appropriate to rank, is required, and applicants should be
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clinical faculty are eligible for leadership roles within the School and the University. Basic Qualifications For a candidate to be considered at the Clinical classification, a PhD, DBA, or ABD in
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. For more information see: https://medicine.iu.edu/faculty-labs/witczak Successful candidates will have recently completed PhD training, possess a strong background in type 2 diabetes, metabolism, and/or
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. For more information see: https://medicine.iu.edu/faculty-labs/witczak Successful candidates will have recently completed PhD training, possess a strong background in type 2 diabetes, metabolism, and/or
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to promote neurological recovery. IUSM is committed to being a welcoming campus community and we seek candidates whose research, teaching, and community engagement efforts contribute to robust learning and