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research outputs, sustained success in attracting external funding, and experience in leading high-performing research teams. Proven ability to attract and supervise higher degree by research (HDR
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-driven imaging algorithms using AI, evaluate algorithm performance through modeling and simulation, establish a research program, collaborate on research projects, seek and manage research funding
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experience and management expertise. This includes a demonstrated ability to manage, motivate, mentor, and lead high-performing teams in a dynamic, deadline-driven environment. Proven knowledge and experience
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Apply now Job no:501167 Work type:Full time Location:Launceston Categories:Balanced Research/Teaching Play a key role in preparing the next generation of nurses through high-quality teaching
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for simulation and data analysis, along with experience using high-performance computing environments, is required, and experience using structure prediction and/or machine learning methods is desirable. Please
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range of specialist and general research techniques, including chromatography or bioanalysis. Advanced technical capabilities in liquid chromatography - mass spectrometry (LCMS), high performance liquid
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. Competent in software development and version control, including the use of Git for tracking file versions and collaborative development. Experience with high-level programming and computational tools
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Australian National University | Canberra, Australian Capital Territory | Australia | about 5 hours ago
the proper operation of complex instruments, and assists in maintaining the Life Science facility. Reporting to the Senior EM Specialist and CAM Director, the role also supports teaching and outreach
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to individualise tumour type, associated biomarkers and genomic characteristics to high precision. The resulting multipurpose machine learning workflows will lead to rapid precision diagnoses and effective
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scripting for simulation and data analysis, along with experience using high-performance computing environments, is required, and experience using structure prediction and/or machine learning methods is