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Australian National University | Canberra, Australian Capital Territory | Australia | about 18 hours ago
available at the John Curtin School of Medical Research (JCSMR), within the ANU College of Science and Medicine. This role supports computational analysis of high-resolution spatial transcriptomics and single
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: 21st August 2025 Background To create and contribute to the creation of knowledge by undertaking advanced analysis and validation experiments within the MRC BioFlare research programme: Although outcomes
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Qualifications* PhD Degree in Engineering, Computer Science, Data Science, Applied Mathematics, Statistics, or a related field Familiarity with (biomedical) signal processing Experience working with clinical data
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, Technology and Policy Program (DOE-STP) is designed to provide opportunities for students, postgraduates, and faculty to participate in programs, projects, and activities at the Department. Fellows will
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PhD Research Fellow in Chemistry-focus on Experiments in Chemical Kinetics and Heterogeneous Catalys
of Mathematics and Natural Sciences has a strategic ambition to be among Europe’s leading communities for research, education and innovation. Candidates for these fellowships will be selected in accordance with
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the course of the period of employment Francesco Saggio/UiO via Unsplash Francesco Saggio/UiO What skills are important in this role? The Faculty of Mathematics and Natural Sciences has a strategic ambition to
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in physics, engineering, computer science, and mathematics is essential. Expertise in data analysis and inversion, Proven experience with geophysical, physical, or sensor data analysis, including
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are important in this role? The Faculty of Mathematics and Natural Sciences has a strategic ambition to be among Europe’s leading communities for research, education and innovation. Candidates
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equivalent to a Norwegian doctoral degree in computer science, statistics, mathematics, data science, or related fields. Doctoral dissertation must be submitted for evaluation by the closing date. Only
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. Key Responsibilities Develop new computational approaches to generate insights into disease biology from large datasets Develop strategies to benchmark computational methods against clinically