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outputs, and nowcasting model products for hazard prediction workflows. • Develop and apply machine learning–based post-processing methods to enhance forecast skill for convective hazards. • Perform
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strong sense of community & inclusion Enjoy a career that makes a difference by collaborating & learning from the best At UNSW, we pride ourselves on being a workplace where the best people come to do
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), microbiological, pathological and immunological and other techniques to meet identified research objectives. This will involve both in vivo and in vitro research and include handling zoonotic bacteria. Learning
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cancer related to specific chemicals and the introduction of new techniques to enable regulatory agencies to evaluate better the risks associated with exposure to chemicals. Learning Objectives
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to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and
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, you will receive hands-on learning within the USACE hydrological research domain, with a focus on gaining experience on process-based flood frequency analysis and interagency collaboration between USACE
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analyses. Learning Objectives: By collaborating closely with members of our interdisciplinary research team, you will gain invaluable hands-on experience to all phases of the research process. You will
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programming languages. Experience with DICOM data, medical-image registration, high-performance computing, or GPU-based computation. Familiarity with machine-learning or deep-learning methods for medical-image
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nested study of mental health outcomes led by Dr Neisha Sundaram and funded by the National Institute of Health Research within a randomised controlled trial of the ‘Learning Together for Mental Health
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based on the following criteria: work experience, qualifications, and work location. City of Hope is an equal opportunity employer. To learn more about our Comprehensive Benefits, pleaseCLICK HERE . #PD