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Torres Strait Islander peoples. At RMIT, we are committed to supporting adjustments throughout the recruitment and selection process, as well as during employment. We actively support and encourage people
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Engineering, Information Systems, or a related field, and sufficiently demonstrate abilities to conduct high-quality research in one of the Department's key research areas: (i) Artificial Intelligence and
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cutting-edge space robotics research and development. Within the research team, your main responsibilities will be: Design and develop robotic arm Systems for space operation Contribute to mechanical
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of Electrical & Computer Engineering (ECE) invites you to apply for a 3-year researcher position (post doc level). Expected start date and duration of employment This is a 3–year position from April 1st 2026
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order to product reports. Documents results and processes. Performs library research and field explorations. Performs related duties as assigned. Adaptability, excellence, and passion are vital qualities
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | 28 days ago
candidates who would contribute to the diversity of our community. In accordance with our Employment Equity Policy, preference will be given in hiring processes to candidates who self-identify as members
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, the environment, health and nutrition. Our expertise in biological processes at all levels – from molecules to ecosystems – contributes to a sustainable society. The Department educate graduates for a wide range of
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for the position. Contact us at seleccio@uoc.edu if, at any stage of the selection process, you need some form of adaptation. The UOC's recruitment and selection processes are based on the principles of Open
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improve the understanding and performance of processes enabling the utilization of space resources with an initial focus on the Moon. To find out more about ESRIC activities: www.esric.lu How will you
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and implementing NLP pipelines for clinical text processing, semantic annotation, and representation learning Developing embedding-based representations of clinical variables and documents to support