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multidisciplinary team focused on accelerating drug discovery with data-rich and automated chemical methods for ecosystem health. See https://www.youtube.com/watch?v=W4HxzWaK1Vo . We are a medicinal chemistry lab
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systems using computer vision, quantitative image analysis, deep learning methods for detection, diagnosis, and quantitative analysis of abnormalities with multimodal data, including clinical and
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time, develop their own independent research careers. More information about the lab is at https://hoanglabregen.com/ Responsibilities* The successful candidate will work with a dynamic and
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computational modeling, which is a collaboration between Dr. Brennan, and Dr. Edith Kaan at the University of Florida. The project description is available at: https://www.nsf.gov/awardsearch/showAward?AWD_ID
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based within the Supporting Transition and Employment Pathways Research Lab (STEP; https://step-lab.ssw.umich.edu/ ), an interdisciplinary research group dedicated to advancing disability inclusion by
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with dignity, and seek scientific truth at all times. Lab website: https://sites.google.com/umich.edu/schuler-group/home Mission Statement Michigan Medicine improves the health of patients, populations
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the Pereira laboratory: https://www.lsi.umich.edu/science/our-labs/filipa-pereira-lab Responsibilities* Experimental responsibilities will include: Perform genome engineering of Streptomyces strains
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and disease early warning. The postdoc will perform directed research to achieve the objectives of the project, specifically: (i) deploy network analysis methods to genomic co-expression data (70%), and
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Contribute to experimental measurements in the nuclear medicine clinic for research purposes Contribute to developing improved SPECT/CT and PET/CT image segmentation and reconstruction methods including AI
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that machine learning applications are developed with ethical considerations in mind. Participate in regular meetings with the research group. Required Qualifications* Ph.D. in Electrical Engineering, Computer