46 computer-science-data-wahrn-hous Fellowship positions at Monash University in Australia
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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 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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Research Fellow, Implementation Science in Addition Treatment Job No.: 683764 Location: Turning Point, 110 Church Street, Richmond Employment Type: Full-time Duration: 12-month fixed-term
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modelling and data analytics, and help shape policy that improves lives. As a Research Fellow, you will: Conduct applied research in health economics, particularly focused on economic evaluation, cost
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implementation science. Strong skills in data analysis, manuscript preparation and stakeholder engagement are essential, along with a demonstrated ability to manage competing demands in a collaborative team
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Research Fellow – Injury Data & Health Policy Job No.: 677444 Location: 553 St Kilda Road Employment Type: Full-time Duration: 18 month fixed-term appointment Remuneration: $118,974 - $141,283 p.a
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that unveil the unseen. analyse complex data to uncover insights and pioneer new strategies for molecular sensing and imaging. We’re looking for someone who brings: A PhD in chemical biology, organic chemistry
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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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of experiments, analysis of neuropsychological and cognitive data and application of computational models. It also contributes to scientific publications and supports collaboration within a network of researchers