226 model-driven-development "Integreat Norwegian Centre for Knowledge driven Machine Learning" Undergraduate positions
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issued abroad, please see Degree equivalency Experience Significant and recent experience in designing, developing and deploying AI solutions using Natural Language Processing and Large Language Models
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Assistance Program (IRAP)—Canada’s leading innovation assistance program for small and medium-sized businesses. For more than 70 years, IRAP has helped innovative Canadian companies develop, test, grow and
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directions. Many previous vacation students have gone on to pursue a PhD and build a successful research career within CSIRO, universities, or industry. The Partnerships and Business Development team provides
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project lifecycle: meeting with clients, identifying opportunities, translating business needs into technical work plans, developing statements of work, executing analyses and models, and delivering
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with the aim and overarching vision to lead Māori responsiveness in the pharmacy sector in the development and delivery of services aimed to increase medicines optimisation in Māori whānau. The main
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National Model Codes. They directly support code development committees in developing recommendations on proposed changes which includes technical and administrative support for the committees and requires
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initiatives in support of the development of model codes including initiatives involving NRC research. Construction Codes are the interface between policy, regulation, and research. Successful candidates will
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Infrastructure? No Offer Description The AITAX project aims to address the complexity and dynamics of modern tax regulations by developing a cutting-edge AI solution for automating the analysis and processing
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Infrastructure? No Offer Description The AITAX project aims to address the complexity and dynamics of modern tax regulations by developing a cutting-edge AI solution for automating the analysis and processing
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complex requirements while developing accurate, compelling, and timely proposals. The successful candidate will thrive in a deadline-driven environment, strengthen relationships across the research