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Research Fellow - Environmental Informatics Hub Job No.: 680160 Location: Clayton campus Employment Type: Full-time Duration: 2 year fixed-term appointment (with the possibility of an additional 2
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an interdisciplinary, purpose-driven team. You have: A postgraduate qualification in Computer Science, Data Science or related field Extensive experience working with large-scale, high-frequency (waveform) data
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Research Fellow in Ultrafast Science of Graphene Thermoradiative Devices Job No.: 684258 Location: Clayton campus Employment Type: Full-time Duration: 2-year fixed-term appointment Remuneration
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Research Fellow in Medicinal Chemistry (Therapeutic Biomolecules) Job No.: 683595 Location: Parkville campus Employment Type: Full-time Duration: 12 months fixed-term appointment Remuneration
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evaluate methods via experiments, benchmarking, simulation and/or real‑world data. The successful candidate will have: A PhD in Statistics, Data Science, Computer Science, Mathematics, or a related field
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for Health Economics is seeking a Level A Research Fellow to play a key role in an ongoing research program examining the effectiveness and cost-effectiveness of behavioural interventions, with a particular
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engineering and a strong foundation in data science. You bring a passion for solving complex problems and a track record of research excellence in optoelectronic materials, machine learning, or related fields
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. We are currently seeking a Research Fellow with experience in AI and machine learning research and development, with a focus on any or all of following application areas: Computer vision Generative AI
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data (e.g. DFT, MP2) and experimental data into AI-driven pipelines for structure–property learning and reactivity prediction. Applying AI models to real-world problems in virtual screening, ligand
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join our Injury Analysis and Data team. In this pivotal role, you will contribute to cutting-edge research that informs policy and practice applying safety science to prevent injuries in areas such as