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Field
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will work in a multidisciplinary environment consisting of PhD-level scientists and undergraduate students, conduct high-quality “innovative and independent” experimental, analytical, and/or
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researcher will work closely with the Principal Investigator and the PhD Students: Decide the experimental design for the development of the pilot study to authenticate olive oil Perform the analytical
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. Disseminate research through high-impact publications and conference presentations. Requirements: PhD (or near completion) in Imaging Science, Computational Biology, Bioinformatics, Machine Learning, Data
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support the PI in both the strategic and operational aspects of project execution. Has strong analytical skills (e.g. statistics and data analysis) and experience with qualitative research and/or survey
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developing cutting edge analytic tools for studying the genome transformation and genomic activities. 70% - The candidate will be mainly focusing on developing machine learning methods and/or AI algorithms
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for impactful implementation science and community-engaged research. The Department is the academic home for graduate education leading to the MHSA, MPH, MSCR, and PhD. The Department is home to
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security, privacy, and governance protocols. Requirements PhD degree or above in Epidemiology, Data Science, Statistics, Information Systems, Computer Science, or related disciplines. Minimum 3 years
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conducted in close collaboration between IPREM (Institute of Analytical Sciences and Physical Chemistry for Environment and Materials, University of Pau & Pays Adour, France: https://iprem.univ-pau.fr
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the development and validation of the common data model and the data integration platform for use in healthcare research. Ensure analytical methodologies are robust, reproducible, and compliant with relevant
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experiments; analyze and interpret results of experiments; write papers for publication; supervise bachelor, master and PhD student projects; present data at local, national and international scientific