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16 Mar 2026 Job Information Organisation/Company MAYNOOTH UNIVERSITY Research Field Other Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1) Application Deadline 7 Apr 2026
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Salary Range $62,941-103,834/year Type of Position Staff Position Time Status Full-Time Required Education MS Click here for more information about equivalencies: https://hr.uky.edu/employment/working-uk
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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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to accelerate discovery in a wide variety of fields to enable effective analysis of large, complex data sets. Overall, IU Indianapolis research contributes significantly to the Indiana State economy. Review
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | 1 day 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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-funded DECIPHER-M consortium (9 partners, €9M), we are building multimodal foundation models that integrate imaging, text, and structured clinical data to predict metastasis risk and identify tumor origin
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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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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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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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. 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