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, preferably two years. Ph.D. training in clinical pharmacy, social & administrative pharmacy, pharmacy education, or pharmacy informatics/big data analysis. Experience in pharmacy practice Demonstrated ability
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Posting Details Student Title Classification Information Quick Link https://chapman.peopleadmin.com/postings/37947 Job Number SE144024 Position Information Department or Unit Name Career and
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Intern to support the development, benchmarking, and large-scale profiling of 3D cancer models within our multidisciplinary team. The ideal candidate is enthusiastic about experimental work, data-driven
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secure data platforms Large-scale clinical, imaging, EHR, and omics datasets through DAPHI and institutional collaborations A dynamic, interdisciplinary community of data scientists, statisticians
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» Earth scienceYears of Research ExperienceNone Research FieldEnvironmental science » Global changeYears of Research ExperienceNone Additional Information Eligibility criteria http://www.cnrs.fr
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revolutionized our ability to obtain large scale RNA structure and RNA-RNA interactome information in the cell (Aw et al., 2016). This greatly expands our understanding of how RNAs are organized within the cell
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data science courses, soft skill courses and annual retreats) https://www.hds-lee.de/about/ Qualification that is highly welcome in industry Further development of your personal strengths, e.g. via a
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working at University of Houston More Jobs from This Employer https://main.hercjobs.org/jobs/21900191/post-doctoral-fellow-big-data-algorithms-group Return to Search Results
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) utilizing integrative data analysis to harmonize phenotypic data across a number of large, genetically-informed longitudinal study samples with the goal of characterizing the longitudinal interplay between
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databases. Design, implementation, and testing of deep learning and AI algorithms for processing tabular, genomic and temporal data. Where to apply Website https://www.uam.es/uam/investigacion/ofertas-empleo