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Field
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We are a fast-moving translational research lab driven by the need to develop curative therapies for chronic myeloid leukaemia (CML) and Asian-specific solid tumours including nasopharyngeal cancer
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for spatial analyses, such as ArcGIS, QGIS, R, Google Earth Engine Interest or experience integrating social and ecological data is an asset Communications & Collaboration : A record of independent research
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discover them The Opportunity The School of Earth, Atmosphere and Environment is seeking a Research Fellow in Geodynamic Modeling & Surface Processes to join a multi-disciplinary team. In this role you will
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advance the frontiers of scientific knowledge in medicine. Our research team is interested in developing drug and gene carriers targeting solid tumors. Specifically, we are investigating several histidine
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to develop your career at the intersection of AI and health. About Monash University At Monash , work feels different. There’s a sense of belonging, from contributing to something ground breaking – a place
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. About us You will be working with a multidisciplinary team including academics, clinicians and trial delivery and management staff from the Peninsula Clinical Trials Unit. The Faculty of Health holds four
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sensing data (satellite, LiDAR, drone or aerial imagery), strong geospatial analytical skills, and proven field and/or laboratory experience in land use change, ecosystem dynamics, biodiversity
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, biogeochemical modelling, disturbed land rehabilitation research, industry collaboration, student supervision, or ecosystem nutrient cycling studies will be highly regarded. About UQ As part of the UQ community
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5 Sep 2026 Job Information Organisation/Company ETH Zürich Research Field Astronomy » Other Biological sciences » Other Chemistry » Biochemistry Chemistry » Other Environmental science » Earth
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Center for Devices and Radiological Health (CDRH) | Southern Md Facility, Maryland | United States | 26 minutes ago
the unique nature of clinical medical data with low disease prevalence and difficulty obtaining ground truth data. Major regulatory science gaps include lack of methods for AI algorithm training with limited