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, school and university and externally to the profession and/or the community. Areas of interest include examining how social media, digital environments, and emerging technologies influence health behaviors
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research in one or more of the following areas: analog and mixed-signal integrated circuits; digital VLSI and AI hardware systems; advanced packaging and heterogeneous integration; and power electronics and
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research in one or more of the following areas: analog and mixed-signal integrated circuits; digital VLSI and AI hardware systems; advanced packaging and heterogeneous integration; and power electronics and
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Multiple Tenure-Track Assistant Professor Positions in Microelectronics, Circuits and Systems Design
teach and lead research in one or more of the following areas: analog and mixed-signal integrated circuits; digital VLSI and AI hardware systems; advanced packaging and heterogeneous integration; and
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until a suitable candidate is found. The earliest anticipated start date is October 19, 2026. Dr. Drew Capone’s research group (https://caponelab.publichealth.indiana.edu ) has broad interests in
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of Aging and Technology. We seek candidates to join IU’s outstanding research enterprise in aging and gerontology and collaborate in areas such as social and behavioral science, digital health, behavioral
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are interested in candidates with one or more of the following areas of expertise: Digital preservation & web archiving Electronic records management Archival intelligence Database and asset management Candidates
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Multiple Tenure-Track Assistant Professor Positions in Microelectronics, Circuits and Systems Design
teach and lead research in one or more of the following areas: analog and mixed-signal integrated circuits; digital VLSI and AI hardware systems; advanced packaging and heterogeneous integration; and
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Posting Details Position Details Title Tenure-Track Assistant/Associate Professor of Digital Art Appointment Status Tenure Track Department IU Bloomington Eskenazi School of Art, Architecture
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-driving laboratories digital twins and in-silico experimentation AI-enabled drug discovery. Regulatory frameworks are evolving alongside these developments, including recent FDA guidance on credible