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) modeling, computational oncology/biology, kinetic modeling, advanced image processing. The candidate should be highly motivated with a strong interest and commitment to research. Curiosity and creativity
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. Prior experience in at least one of the following is a requirement: physiologically based pharmacokinetic (PBPK) modeling, computational oncology/biology, kinetic modeling, advanced image processing
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: physiologically based pharmacokinetic (PBPK) modeling, computational oncology/biology, kinetic modeling, advanced image processing. The candidate should be highly motivated with a strong interest and commitment
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Overview: Full-time, Fixed Term for 3 Years Salary Academic Level A6-B1 ($102,047 -$115,303 p.a.), depending on post-PhD experience 17% Superannuation and Flexible Working Arrangements Based
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in NLP. Completed a PhD or equivalent qualification or research experience in machine learning, natural language processing and image processing. Emerging track record and recognition for quality
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, develop, and optimize new methods and techniques to address critical project or functional area needs. Participants will improve existing or develop new laboratory methods and processes, read and adapt
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(see below). There is currently one fellowship available where the successful candidate will join one of our Cardiovascular Research Teams, details as follows: - BRC Theme: Cardiovascular / Imaging
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metabolism, clinical sample analysis and clinical pharmacokinetics, and mass spectrometry imaging of small molecules, endogenous metabolites, lipids, proteins on tissue sections. What You'll Do LC MS
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a PhD in engineering or a related area. In particular experience in experimental methods for aerodynamics is essential. Good prior experience in wind tunnel testing is essential with experience in
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modifiers. The cultures will be analysed using basic molecular and cell biological techniqu es as well as high throughput imaging and analysis to observe modifier effects on LRRK2 and LRRK2 Rab substrate