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are particularly interested in individuals who have: Strong background at least two of the following areas: machine learning, natural language processing, large language models and multimodal processing Excellent
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in practical applications. We are particularly interested in individuals who have: Strong background at least two of the following areas: machine learning, natural language processing, large language
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*. * The Employment Equity Act, which is under review, uses the terminology Aboriginal peoples and visible minorities. Candidates are asked to self-declare when applying to this hiring process. City: Within a National
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of the nature of sport and ethical problems therein, to applied multi-disciplinary work on policies and practices such as anti doping, athletes’ rights, match fixing, gender eligibility rules, technology polices
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also a mandatory requirement for English equivalent to English B/6. Selection In order to succeed as a doctoral student at KTH you need to be goal oriented and persevering in your work. During the
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Loading / Chargement... Help Dashboard Dashboard Dashboard Recruiter Login English English We are sorry this posting does not have information in your chosen language Student Research Assistant
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large government agency. We are looking for a researcher to join a small team investigating Natural Language Processing problems in the domain of Financial Regulation. The role would be located within
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communications teams to ensure legal and ethical compliance. In addition, they will document processes, maintain internal repositories, participate in research and knowledge transfer projects, and engage in
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or more years Summary The Helen Keneley Scholarship was established with a gift from Helen Mildred Keneley and offered to students or graduates who completed study in the field of Teaching English to
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Organizational Unit: Medical Devices Classification: RCO Tenure: Term Duration: 2 years Language Requirements: Bilingual Imperative CBC/CBC Work Arrangements: Due to the nature of the work and operational