148 evolution-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Fraunhofer-Gesellschaft" Fellowship positions in Australia
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working Additional 3 days of leave over the Christmas Period Access to lifelong learning and career development Progressive HR practices More information on the great staff benefits and culture can be
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and conferences supervise PhD, Masters and Honors students manage and support research staff support the development of exercise‑related and clinical research initiatives contribute to grant
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contribute to development of research activities. Support the dissemination of research outcomes through appropriate channels and outlets. Undertake discipline-appropriate research activities, e.g. surveys
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. Supervision and Researcher Development: Contribute to the supervision of Honours and Higher Degree by Research students, supervise research support staff as appropriate, provide guidance and mentoring, and work
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. Undertake specific research project/s under the guidance of a research leader and contribute to the development of research activities. Support the dissemination of research outcomes through appropriate
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or professional development to further their career in the field of psychiatry. About the donor Prof. Schweitzer was an outstanding clinician, researcher, and teacher, who made an incredible contribution
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funding. Work with colleagues in the development of joint research projects and applications for competitive research funding support. Develop a coherent research program and an emerging research profile
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Herston location About This Opportunity This is an exceptional opportunity for a Research Platform Fellow to shape the development of national infrastructure for AI Federated Learning through robust data
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Development: Supervise students, recruit and manage employees, provide performance feedback and training, resolve conflicts, and ensure correct remuneration and benefits. Citizenship and Service: Develop
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key part in supporting Australia’s transition to green ironmaking by developing a quantitative framework that connects impurity content, process parameters and microstructural evolution to scalable, low