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, cluster randomised controlled trials implementation science, data linkage, data science, machine learning and artificial intelligence. In this role, you will have the opportunity to engage in a series of
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bioinformatics Previous experience with AI and/or machine learning approaches Interest in reproductive health and/or development of clinical tools and algorithms Downloading a copy of our Job Description Full
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Desirable criteria Experience of advanced statistical and/or machine learning methods, such as longitudinal analysis methods, latent variables models, clustering algorithms, missing data and clinical trial
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simulations using DFT (particularly of surface processes); kinetic Monte Carlo simulations; molecular dynamics simulations; classical and machine-learned force fields. Highly developed skills in scientific
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journals (including as the main author), such as ICSE, FSE, ASE, ISSTA, SANER, ICPC, ICSME, MSR, TOSEM, JSS, I&ST, TSE, and EMSE • Experience publishing in related fields, such as data mining and machine
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element method, wave propagation analysis, inverse problem, machine learning (ML), and artificial neural network. Strong background in research publications in the desired field. Experience mentoring other
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Research Fellow Job No.: 679812 Location: 553 St Kilda Road, Melbourne Employment Type: Part Time and Full Time opportunities available Duration: 12 month fixed-term appointment Remuneration
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: HRS_RECR_LOC_ALL Columbia (597) Kansas City (97) Rolla (87) St. Louis (41) UMKC Volker Campus (34) Jefferson City (22) Missouri Central Region (22) UMKC Hospt Hill Campus (17) Missouri Southeast Region (5) Missouri
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computer skills for accurate data collection using various hospital EMR systems (primarily EPIC systems) and willingness to learn various Data Capture systems (WebDCU, RAVE, Red-Cap) ability to work on site
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You Completion (level A and B) or near completion (level A) of a PhD in the field of Information Retrieval, Natural Language Processing, or Machine Learning on Textual Data. Demonstrated expert