502 programming-languages-"the"-"CNRS"-"U"-"UCL"-"O.P"-"FEMTO-ST-institute" positions in Australia
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into student engagement trends, you will help shape strategies for marketing, program promotion, and the recruitment of diverse student cohorts. Working under the guidance of the Lead, Domestic Undergraduate
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, education, and workforce development across the Northern Territory. We engage with students, community, and stakeholders to provide critical programs, such as the Northern Territory Medical Program
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This PhD scholarship is funded by an Australian Research Council Industry Fellowship grant. It is a 3.5-year research training program. The ARC Industry Fellowship program aims to develop a strong
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(working as part of a team), and attention to detail. Experience in programming multiple languages (Python, MATLAB, Simulink, C++, VBA, etc) Some experience in developing machine learning models Demonstrated
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- 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a
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CSIRO IPhD Scholarship - AI-empowered visual recognition system for dairy cow identification, health and behaviour monitoring and detection The CSIRO Industry PhD Program (iPhD) is a four-year
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Engagement Manager at ARIIA, you will focus on growing ARIIA’s national network, promote Aged Care Incubator and ARIIA programs and services, and actively identify and pursue funding opportunities to support
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documentation as instructed by the Procurement Specialist/Manager in accordance with RMIT policies on procurement and strategic sourcing including but not limited to Tender documents, Strategic procurement plan
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University of New South Wales | Canberra, Australian Capital Territory | Australia | about 8 hours ago
datasets. Help develop data sets for testing and demonstration purposes. Verify and deploy programs and systems and assist with maintaining the team’s development environment. Troubleshoot, debug and upgrade
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opportunity Experience in machine learning and deep learning Proficiency in one or more high-level programming languages such as Python, Java, or R. Strong commitment to interdisciplinary research and a track