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review the application requirements and submit their application at https://indiana.peopleadmin.com/postings/30783 . Basic Qualifications PhD or equivalent terminal degree in exercise science, kinesiology
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scientists, biomedical informaticians, clinicians, and public health researchers to develop deployable, trustworthy methods that improve patient outcomes and health system operations. Key responsibilities
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for biomedical applications. Experimental expertise in advanced optical system design, structured beam generation, and characterization methods will be advantageous. Familiarity with laser pulse shaping
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Sciences Master of Health Administration (MHA) MS in Biostatistics MS in Global Health & Sustainable Development Doctoral Degrees: PhD in Biostatistics PhD in Epidemiology PhD in Health Policy and Management
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amplitude analysis and scattering theory, heavy-ion collisions and the properties of hot QCD matter, hadronic probes of beyond-the-Standard-Model physics, and formal developments in lattice QCD. A Ph.D. in
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organic methods for functional small molecules and polymers. The goal of projects in the Huang lab is to tackle critical societal challenges through precise structural control, efficient manufacturing, and
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://faculty.medicine.iu.edu/relocation Basic Qualifications Educational Requirements Candidates must have an MD/PHD or Ph.D. in Neuroscience, Immunology or a related field prior to the start of the appointment. Skills
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dedicated to their experiments, office space, workstations, and travel funds to present at meetings. Salary is commensurate with experience. Qualifications: Required: A PhD in neuroscience or a related field
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Matthew Aalsma, PhD; Zachary Adams, PhD; Kathleen Crum, PhD; Ally Dir, PhD; Leslie Hulvershorn, MD; Brigid Marriott, PhD; Casey Pederson, PhD; and Tamika Zapolski, PhD. Indiana University is a multi-campus
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architecture design, simulations, and publicly available genomic datasets to develop new inference methods. The Postdoctoral Associate will conduct research related to creating or testing deep learning models