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the guidance of scientific mentor in the Department of Microbial Infection & Immunity; designs, conducts, and evaluates research experiments; plans and executes advanced bacterial genetics, molecular biology
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PhD or equivalent degree required; experience in bioinformatic data analysis, zebrafish, or genetics is preferred. Additional Information: Location: Biomedical Research Tower (0112) Position Type: Term
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links and good communication skills with other members in group/core scientific staff in related program areas to gain exposure to, and build knowledge of experimental research activities and approaches
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environment. Unexpected interruptions occur infrequently and stress level is expected to be low. Noise level is expected to be quiet. Physical activities: Able to sit in front of a computer for an extended
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, Alzheimer's disease and ALS. The lab uses computational approaches to analyze genomic, transcriptomic, and clinical data from blood and brain tissue samples to identify disease biomarkers and cell-type-specific
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development program in “Artificial Intelligence in Education & Training.” This position reports to the director of CETE and is intended to expand the center’s capacity in the field of Artificial Intelligence
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the opportunity of strong mentorship and a close, multidisciplinary collaborative research environment. Primary Responsibilities Lead the state-of-the-art research using genetic mouse models for histology, single
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Computational modeling of metal alloys using an Integrated Computational Materials Engineering (ICME) approach. Responsibilities: 60% Perform research on the microstructural evolution of metal alloys during
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; develop collaborative links and good communication skills with other members in group/core scientific staff in related program areas to gain exposure to, and build knowledge of experimental research
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, computational musicology and music theory, music cognition, spatial/immersive audio, generative music systems, human-computer interaction, machine improvisation, musical robotics, and/or new interfaces