80 engineering-computation "https:" "https:" "https:" "https:" "UNIV" "UNIV" "UNIV" research jobs at Indiana University
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photoreceptors in marine Synechococcus using CRISPR and protein biochemistry approaches. This project is funded by the NSF Systems and Synthetic Biology Program and builds on our successful initial studies of Type
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Research Methodology Location Bloomington Position Summary Location: Learning and Developmental Evaluation Clinic (LDEC) and the School Psychology Program , School of Education , Indiana University (IU
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fellow with expertise in wet-chemical inorganic nanocrystal synthesis. Ideal candidates will have completed a Ph.D. in chemistry, chemical engineering, or materials science/engineering by or before May
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who will join us in our mission to improve health equity and well-being for all throughout the state of Indiana. Basic Qualifications Ph.D. or terminal degree in biomedical engineering or related field
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-brain barrier research. Ideal candidates will have: 1.A PhD in the life sciences 2.A solid background in cell culture and tissue engineering approaches 3.Knowledge in Neuroscience and Stem Cell Research 4
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highly collaborative group of scientists with diverse research backgrounds ranging from chemical engineering to stem cell biology, neuroscience and molecular biology. We conduct team-based science, while
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of myeloid populations in response to radiotherapy and immunotherapy, and on leveraging this knowledge to engineer precision nanotherapeutics that reprogram their behavior. By integrating molecular engineering
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bioinformatics and biomarker research. This position focuses on the integration and analysis of complex biological data to identify and validate kidney disease biomarkers. Research Focus Our program leverages
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. Knowledge and understanding of modern molecular biology, immunology and biochemical techniques including ChIP-sequencing and other multi-omics techniques is a plus. Strong analytical and computer skills are
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, statistical genetics, bioinformatics or computational biology. We are particularly keen to attract a candidates who already have experience and/or training in the statistical methods used in genetic and