30 linked-data-"https:"-"https:"-"https:"-"https:"-"INSA-RENNES" Fellowship positions at Monash University
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Research Fellow, Data Scientist (Wearable Technologies, Digital Health & Artificial Intelligence) Job No.: 697562 Location: Clayton campus Employment Type: Full-time Duration: 3-years fixed-term
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Research Fellow – AI/Machine Learning in Pharmaceutical Data Job No.: 697007 Location: Clayton campus Employment Type: Full-time Duration: 11-month fixed-term appointment Remuneration: $86,195
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Research Fellow, Data Analyst - Centre of Research Excellence in Bipolar Disorder Job No.: 693859 Location: Clayton campus Employment Type: Full-time Duration: 12-months fixed-term appointment
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preparation and publication. https://www.monash.edu/medicine/sphpm/anzicrc/research/anzic-rc-acute-brain-injury-program As the Research Fellow - Data Scientist, you will: Develop and implement data management
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well as a team of trainees, guiding research direction and supporting student training. Your responsibilities will include linking aeolian sediment sink properties to sources using remotely sensed (e.g
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research focused on chronic lung disease and supportive care. This Research Assistant position will support a range of clinical research activities, including quantitative and qualitative data collection
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and data curation, undertaking statistical analyses and data integration, and generating publication-quality figures, reports and presentations. The position will also contribute to manuscript
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, laboratory automation, and data science, this role offers an extraordinary platform to elevate your research career within a world-class, collaborative environment. Why You Should Apply Be Part of a Major
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observed in comparative data sets compiled from the literature, analysed using phylogenetically informed statistical approaches. As the successful candidate you will hold a doctoral qualification in the
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physics. You will undertake high-impact research using data from the Large Hadron Collider (LHC) Run 3, with a focus on better understanding the Standard Model and identifying potential Beyond the Standard