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engagement, FIU is redefining what it means to be a public research university. Open Rank Tenure-Track Faculty Position in Big Data/AI/Bioinformatics The Department of Biological Sciences at Florida
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preparation. Required skills: A Ph.D. in biomedical informatics, computational biology and/or systems biology or immunology or related fields Documented experience in working with large data sets such as DNA
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This research focuses on developing and validating Big Data-driven machine
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, and Ph.D. program. The Department’s curricular offerings have shifted toward placing a stronger emphasis on econometric methods and data analysis in recent years. The University of Florida has a
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of the student, suggested tasks will be to: – Design, prepare and lead the first-stage small-scale behavioral experiments, with a prototype of the game before its large-scale distribution. – Analyse the data
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19 Jan 2026 Job Information Organisation/Company Faculty of Culture and Society Research Field Geography Researcher Profile First Stage Researcher (R1) Application Deadline 9 Feb 2026 - 12:00 (UTC
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the design, implementation, and testing of statistical and AI software for analysing large healthcare-related data, including data from electronic health records, medical images, and sensor data from wearable
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, epidemiology, biostatistics, genomics, big data analytics, or artificial intelligence analytics Be familiar with conducting analysis with different types of data, including metagenomics sequencing, genomics
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, economics, data science or related fields. Required Experience Prior experience in working with large unstructured datasets Prior experience in using US research database or datasets such as WRDS, 10K reports
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on developing a new multi-disorder prediction approach that integrates different sources of information. You work with analytical model development, extensive simulation studies and analysis of existing large