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emphasis on emerging wearable optically pumped magnetometer (OPM) technology. These methods and hardware will improve the spatial resolution, robustness, and computational foundations of MEG source imaging
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to the development of data algorithms and specialized computer software for identifying and classifying components of biological systems (such as DNA and protein sequences). Support the creation and maintenance
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genotypic information with neuroimaging phenotypes for research questions in neurology, psychiatry and developmental neurobiology. The Imaging Genetics Center (http://igc.ini.usc.edu) in Marina del Rey
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. Developing the algorithms, infrastructure, and governance necessary for such analysis can simultaneously enhance hypothesis generation, computational modeling, and post hoc support for laboratory studies and
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Job Description Applications are invited for a Postdoctoral Associate position within Wireless@Virginia Tech (https://wireless.vt.edu/) in the Bradley Department of Electrical and Computer
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Software Development (40%): Develop, implement, and test elements of the LSST data processing algorithms and software pipelines, with an emphasis on scientific rigor and computational performance. Work may
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Number: 16451 School: Harvard Medical School Position Description: We are seeking a highly motivated post-doc trainee to join Dr. Norbert Perrimon's group in the Program of Genetics at Harvard Medical
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, with applications ranging from scientific research to medical imaging and marketing analysis. With the ever increasing amount of learning data, these algorithms face computational challenges
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Institut d’Investigació Biomèdica de Girona Dr. Josep Trueta (IDIBGI-CERCA) | Spain | about 2 months ago
Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? Yes Offer Description IDIBGI is looking for highly-motivated and ambitious
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in 2010, the OPDC cohort follows up 1700 individuals with PD, prodromal PD and control participants longitudinally, both at home and in clinic. Omics data collected includes genetics, metabolomics