24 data "https:" "https:" "https:" "https:" "Dr" "UCL" Fellowship positions at Monash University in Australia
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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
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and data-driven insight. Your work will span engineering design and testing, laboratory and field experimentation, trial coordination, advanced data analysis, and research administration. You will plan
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initiatives. Key responsibilities include contributing to ethics applications, conducting literature reviews, assisting with participant recruitment, engaging in qualitative and/or quantitative data collection
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Demonstrated awareness of confidentiality and responsible data handling Experience in cell signalling, cellular imaging or mouse models of cancer will be highly regarded. About the Institute and Department
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-RC research and registry activities — from protocol development, qualitative research and data interpretation to manuscript preparation and grant submissions. If you are ready to help shape research
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applications, and the collection of qualitative and quantitative data Prepare manuscripts for publication and contribute to competitive grant applications Support the Group Lead with the coordination of funded
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for food and milk quality using microneedle and microfluidic technologies. You will conduct experimental work, analyse data, and share findings through publications and presentations, contributing
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, characterization and evaluation of novel PfM1 and M17 aminopeptidase inhibitors. This would include compound design, data management and analysis and sample preparation as well as a range of drug discovery-related