43 programming-"Multiple"-"Prof"-"Humboldt-Stiftung-Foundation"-"O.P"-"UCL" research jobs in Australia
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Deadline 5 Oct 2025 - 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
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leveraged to enhance the standing of the faculty/University school and University demonstrated ability to prioritise and manage multiple tasks in a busy environment ability to effectively communicate
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Health At the College of Medicine and Public Health, we deliver clinical, population and lab-based research, integrated teaching programs and high-quality clinical services. Our footprint reaches out from
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in the field in aquatic/terrestrial environments. This can include working multiple days in the field Ability to work autonomously whilst displaying a strong commitment to work in a team environment
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Application Deadline 7 Oct 2025 - 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
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) Country Australia Application Deadline 7 Oct 2025 - 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
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ability to work in the field in aquatic/terrestrial environments. This can include working multiple days in the field Ability to work autonomously whilst displaying a strong commitment to work in a team
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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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anxiety, depression, OCD and PTSD, as well as for people managing chronic health conditions including pain, diabetes, epilepsy, multiple sclerosis, and heart disease. Participants access these programs via
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an advanced AI-augmented digital platform (AiCT-Med) powered by cutting edge machine learning models trained on multiple large, aged care datasets from providers across Australia. The platform is designed