38 information-science-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" Fellowship positions at Monash University
Sort by
Refine Your Search
-
, 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
-
the future of digital health Be surrounded by extraordinary ideas driving innovation in data science and health The Opportunity We have an opportunity available for a Research Fellow, Data Scientist to join
-
Research Fellow - Data Science Job No.: 695546 Location: 553 St Kilda Road Employment Type: Full-time Duration: 12 month fixed-term appointment Remuneration: $123,138 - $146,228 pa Level B (plus 17
-
Research Fellow - Chemical & Biological Engineering Job No.: 697580 Location: Clayton campus Employment Type: Full-time Duration: 12 month fixed-term appointment Remuneration: $86,195 - $116,981 pa
-
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
-
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
-
, experimental frameworks and evaluation methodologies. We are seeking someone with a PhD or near completion in Artificial Intelligence, Computer Science, Machine Learning or a closely related discipline, together
-
patients, you will contribute to the design and delivery of clinical research that directly impacts real-world care. This role is ideally suited to an early career researcher or health sciences graduate with
-
exciting opportunity exists to get involved in high-impact research in evolutionary physiology at the School of Biological Sciences alongside world-class researchers. You will have the opportunity to design
-
of observational data, comparison of multi-wavelength data against model predictions, and/or demonstrated knowledge of multi-messenger science. The successful candidate will also have demonstrated analytical and