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to large healthcare exchanges, including Indiana Health Information Exchange (IHIE) and Michiana Health Info Network [MHIN], as well as multiple healthcare systems within Indiana. BMEI enjoys close
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Multi-Sensor Data Fusion and Smart Decision Making School of Electrical and Electronic Engineering PhD Research Project Self Funded Prof Lyudmila Mihaylova Application Deadline: Applications
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for testing. Performs advanced testing procedures and performs analyses of data. Prepares reports. Makes uses of a variety of specialized equipment typical within area of specialization. May contribute
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | 2 days ago
the communication and storage needed to retain most of the information. Environment. The PhD will take place at Inria Grenoble, in the Thoth team. This is a large team focused on machine learning, and
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. AI4GI develops tailor-made neural network architectures, including sparse and biologically informed models, to predict disease risk and complex quantitative traits from large-scale genomic data such as
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. (Required) Demonstrated skill in troubleshooting hardware and software problems encountered with magnetic resonance spectrometers. (Required) Demonstrated skill in computer programming and testing
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names and contact information of three references (letters are not required at this stage) must be submitted through Interfolio https://apply.interfolio.com/182931 . Review of applications will begin on
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of design and innovation on value creation for stakeholders. For more information on D^3/LISH , please visit https://d3.harvard.edu and https://d3.harvard.edu/lish/ . Research Focus: Postdoctoral Fellows
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, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information. All qualified
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Leipzig, Sachsen | Germany | 5 days ago
tasks # Conducting experiments on reactive transport in porous materials # Tomographic analysis of pore networks and flow fields in porous materials # Evaluation of large tomographic data sets as input