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, Statistics, Computer Science or a related field who possesses strong interest in genetics/biomedical applications, and strong computing/programming and communication skills. Essential qualifications include
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-doctoral Associate will develop algorithms and theory for machine learning methods, as well as implement and apply ML methods to problems in domains such as computational biology and neuroscience. This is a
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publication of results and full reproduction of experiments - Ensure that data and research materials are organized, maintained, and archived when appropriate, ensuring future access - Conduct regular meetings
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presenting at scientific conferences 10% mentoring – training graduate and undergraduate students in the laboratory Qualifications Required Qualifications PhD or equivalent in Biomedical Engineering, Materials
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interdisciplinary team of researchers and Ph.D students from Department of Computer Science & Engineering as well as other departments. Duties/Responsibilities: (60%) Research and development in networking, edge
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, the University of Chicago, the Massachusetts Institute of Technology, the University of Oslo, and Umea University. The initial appointment will be for one year, with the possibility of renewal based on available
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the formation of synthetic biofilms for biotechnological applications. The project will involve research at the intersections of biological and (bio)chemical engineering, synthetic biology and materials sciences
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of stable isotopes, mass spectrometry, and computational modeling to quantify in vivo metabolic fluxes in genetically-engineered mice. Under the direction of Curtis Hughey, the postdoctoral associate will
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engineering, MRI Physics, or related fields • More than 2 years of MRI research or technical development • Experienced in data analysis using MRI software (e.g., SPM, FSL) • Adept in programming with MATLAB, C
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highly motivated Postdoctoral Associate with a passion for exciting state-of-the-art technology in the immune monitoring of transplant recipients. Overall, the Schulze Diabetes Institute TTL mission is to