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Field
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and multidisciplinary engineering teams to support system integration, ensuring alignment between modelling, experimental validation, and overall system performance. Key Responsibilities: Design and
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will be working on projects related to artificial intelligence for medical imaging. You will be responsible for the following: • Develop and pursue a research program in artificial intelligence
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will have opportunities to participate in synchrotron and national-facility experiments and to help translate discovery and prototype development into meaningful clean-energy impact whilst contributing
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Bioinformatics and computational biology for multi-omics integration and biomarker discovery. High-dimensional data analysis from targeted arrays and imaging platforms. Coordination of biological sample pipelines
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combines stem cell biology, spatial genomics, AI/ML, single-cell technologies and computational biology to study how mutant cell populations interact with their surrounding tissue environment during
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16 Jul 2026 Job Information Organisation/Company UNIVERSITY OF SYDNEY Research Field Medical sciences Psychological sciences Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1
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characterization and engineering of bio–nano interfaces • Participation in a highly interdisciplinary and internationally visible research programme combining colloid science, molecular self-assembly, biointerfaces
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Program. The lab also actively collaborates with national and international partners in the fields of: Hereditary cancer biology; Oriented cell division mechanisms; Pediatric leukemia and breast cancer
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of Pediatrics, and the Michael Cuccione Childhood Cancer Research Program. The lab also actively collaborates with national and international partners in the fields of: Hereditary cancer biology; Oriented cell
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. Mitchell J. Cohen MD FACS (trauma surgeon-scientist, Professor of Surgery, Bruce Rockwell Chair) and a multidisciplinary team including experts in coagulation biology, proteomics/metabolomics, thrombosis