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tools and computer programs to review data. Assist with data cleaning measures to ensure accuracy of data and preparation of tables. Lead basic activities such as data collection and data entry. May lead
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resources. Integration of regularly updated databases, public and private variant prioritization tools using machine-learning methods, bioinformatics predictors of intronic/UTR variant damage, gene panels
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also the potential for the candidate to teach courses and to participate in the undergraduate and graduate programs within the Department of Aerospace Engineering and Mechanics. The salary will be
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making and machine learning, with real-world testing and feedback. The successful applicant will work on decision making for anomaly detection, behaviour analysis and surveillance decisions, under
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multisource blending methods will then be applied (e.g. kriging, probabilistic merging, machine learning) to combine datasets and preserve extremes. Uncertainty will be quantified explicitly, with outputs
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to occupant injuries, crash protection, and occupant accommodation. Biosciences researchers use state-of-the-art laboratory testing facilities, computer modeling, and data analysis techniques to conduct a wide
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, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status
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, collecting and analysing biomedical data, training machine learning models for bowel sound classification, and supporting prototype refinement and software integration for eventual commercialisation. Key
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knowledge in one or more areas and be enthusiastic to new learning opportunities. Key Responsibilities: The position is responsible for design and implementation of prototypes, electronic control, data
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are committed to maintaining a safe and secure environment for our students, staff, and community by reinforcing our Safer Recruitment commitment. We're very proud to be a signatory of the Armed Forces Covenant