21 data-"https:"-"https:"-"https:"-"IMEC" Fellowship positions at Monash University in Australia
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Research Fellow - Data Scientist/Clinical Data Engineer Job No.: 690434 Location: 553 St Kilda Road Employment Type: Part-time, fraction (0.5) Duration: 12 month fixed-term appointment Remuneration
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Research Fellow – Data Science & Biological Chemistry Job No.: 691543 Location: Clayton campus Employment Type: Full-time Duration: 12-month fixed-term appointment Remuneration: $83,280 - $113,025
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Research Fellow, Data Science in Health Promotion Job No.: 687776 Location: Turning Point, 110 Church Street Richmond Employment Type: Part-time, fraction (0.6) Duration: 12-month fixed-term
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team shaping national policy As Research Fellow, turn big data into real-world impact The Opportunity The National Addiction and Mental Health Surveillance Unit (NAMHSU) is leading a Medical Research
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discover them The Opportunity The Department of Electrical and Computer Systems Engineering at Monash University is seeking a motivated Level A Research Fellow for a 2 year research-only appointment. A Level
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community Be surrounded by extraordinary ideas - and the people who discover them The Opportunity The Department of Electrical and Computer Systems Engineering at Monash University is seeking a Level A
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providing guidance to research staff and students. A strong focus on clinical trial management, data integrity and the effective use of systems such as REDCap underpins the delivery of rigorous and compliant
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comparing model predictions of observed transient data Experience in software development with larger scientific codes; in particular, expertise in Fortran, C, Python, and/or build systems are of advantage As
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. The Research Fellow will undertake high-quality research both independently and collaboratively, producing scholarly outputs and engaging with policy actors, UN agencies and other stakeholders to support data
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using structure‑based and medicinal chemistry approaches, contribute to pharmacokinetic optimisation, and support broader discovery activities, including data analysis, sample preparation, and report