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Genetics from an accredited University. Preferred Education None. Licenses/Certifications None. Required Experience None. Preferred Experience None. Equipment Use of personal computer and proficiency in
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Understanding of & ability to contribute to broader management/administration processes Experience developing & applying machine learning models to computer vision tasks Practical experience in computing
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-quality project outcomes in a timely manner. Computer programming experience, preferably with Julia and/or Matlab. An understanding of and commitment to UNSW’s aims, objectives and values in action
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Education and/or Experience: Candidates with extensive research experience in computer programming and data management will be given preference. Candidates with successful grant-writing experience and a
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of research. Job Requirements: PhD degree in Computer engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly analytical, proactive and a team player Excellent
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computer vision and vision-language models Experience with ML evaluation metrics and benchmarking Proficiency in Python and deep learning frameworks (e.g., PyTorch) Interest in applied, industry
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with standard laboratory conditions. Must be able to work at a computer for extended periods for data analysis, and manuscript preparation. May require routine work with biological samples, including
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, and laboratory operations. Job Requirements: PhD in Electrical Engineering, Computer Engineering, Physics, or a closely related discipline. At least three years of relevant research experience in
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interdisciplinary research teams on quantitative analyses of complex genomic datasets; Learn to use remote, high powered computer clusters to process large datasets. Mentor: The mentor for this opportunity is Adam
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diagnostics and therapeutic stratification in lung cancer. In collaborating with cross-functional teams, including bioinformatician, computer scientists, AI engineers, biologists, and clinicians, you will