18 algorithm-"Multiple"-"Prof"-"Simons-Foundation"-"DIFFER" positions at La Trobe University
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experience in one or more of the following areas: machine learning, reinforcement learning, algorithmic trading, or data-driven modelling. Excellent communication skills: Solid written and verbal communication
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promoting mental health wellbeing and inclusion. The Senior Coordinator will deliver multiple project actions using evidence-based frameworks and health promotion practice. This role will support the
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or other drug use is involved, is responded to by multiple systems, including child protection, health, family services, juvenile justice and police. The public health research project will use individual
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Agreements are essential. The ability to manage multiple stakeholders, negotiate and influence outcomes, create thorough documentation, and provide training and user support are also critical to excelling in
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management skills, with the ability to handle multiple tasks and priorities. Excellent written and verbal communication skills for preparing reports, documentation, and stakeholder engagement. Ability to work
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Full Time, Continuing Position Campus Independent HEO5 Classification Potentially multiple positions available About the position The ASK La Trobe team serves as the frontline team for all current
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; rehabilitation and mental health counselling; and art and family therapy. The Department operates across multiple campuses and locations, including Melbourne (Bundoora), Bendigo, Albury-Wodonga, the Bouverie
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-based professional development activities in online learning, across multiple learning and teaching approaches and disciplines. Demonstrated experience in developing interactive, authentic, user-centred
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future autonomous instrument control and self-directed experimentation will be developed, recognizing the challenge presented by the integration of multiple complex systems. Coding and user interface
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materials systems at the molecular level with machine learning. The PhD Student will work with tumour sections to develop multiple instance learning and weak supervision / spatial transcriptomics models