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inorganic and physical chemistry. A successful applicant will have a deep understanding of protein folding and interest in metal-based biological catalysis. Available projects involve “bottom-to-top” de novo
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, creative, and well-organized candidate with experience in stem cell and cancer biology, molecular biology, next-generation sequencing techniques, bioinformatics, proteomic analysis, and animal handling
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collaboratively. Preferred Qualifications: Proficiency in spectroscopic methods, data analysis, and scientific programming will be advantageous. Department Contact for Questions Questions can be directed to: Prof
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, creative, and well-organized candidate with experience in stem cell and cancer biology, molecular biology, next-generation sequencing techniques, bioinformatics, proteomic analysis, and animal handling
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Interest in analyzing biomedical/clinical/genomics datasets using computational approaches such as longitudinal analysis, mixed-effect modeling, regression, and AI/machine learning in large-scale electronic
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will also be heavily involved in the development and operation of LHCb’s heterogeneous software trigger system. The successful candidate will focus on analysis of Run 3 proton-proton and heavy-ion data
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practice through iterative systems analysis (specifically Cultural Historical Activity Theory). The candidate should have a strong background in the learning sciences, STEM education, instructional
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Posting Details Position Details Title Post Doctoral Appointee (Technology Governance) Appointment Status Non-Tenure Track Department IU Bloomington Wrkshp-Pol Theory/Pol Analysis Location
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parallel testing facilities for companion dogs and children, including equipment for eye-tracking, thermal imaging, touch screen studies, behavioral analysis from video. There is also the possibility
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laboratory activities and maintain the progression of research projects. Supervise research technicians and student employees. Participate in protocol development, data analysis and report/manuscript