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and human inner-ear organoid systems. Design, optimize, and evaluate gene therapy strategies, including AAV vector engineering and delivery approaches. Collect, manage, and interpret experimental
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Laboratory located in Ames, Iowa, on the campus of Iowa State University. We are dedicated to translating foundational science through applied research to create technological innovations. We create materials
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for conferences, grant proposals Data analysis and pipeline development Technology-based solutions for advancing population health To be eligible, candidates must: Have received a PhD in computer science
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, mathematics, computer science, engineering or a related discipline Required Other None Additional Preferred Experience working in one of the following areas: Machine learning/predictive modeling
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, United States of America [map ] Subject Areas: Biological Sciences Biostatistics Health Informatics or Bioinformatics Public Health Epidemiology (more...) Climate Science Environmental Analysis Appl Deadline: (posted 2026
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-derived human neurons. The applicant should have strong background in neuroscience and/or biomedical engineering or computer science. The applicant should be able to perform small animal surgeries
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Leadership and Education in Neurodevelopmental Disability (LEND) interdisciplinary training program. Research areas of emphasis include sensorimotor processes and cognitive abilities in autism spectrum
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APCTP, Office of Research Support Program ID: APCTP-ORS-POSTDOC [#31612] Program Title: Young Scientist Training(YST) Program 2026 Program Type: Postdoctoral Location: Pohang, Gyeongsangbuk-do 37673
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of computing and technology. AOC: Open. Teaching: 2 courses/year or equivalent, graduate and undergraduate, semester system. The position involves shared responsibilities with the Social and Ethical
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Postdoctoral Research Associate - Hybrid Computational-Experimental Scientist in Bacterial Drug Resp
-or vice versa-who wants to grow into a scientific leader at the interface of data and biology. What You Will Do • Combine experimental and computational approaches to analyze bacterial responses