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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 3 months ago
strategies, signal processing algorithms and simulation platforms for goal-oriented semantic wireless systems. Drive a high-impact ARC Discovery Project aimed at advancing sovereign telecommunications
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Details Title Postdoctoral Fellow in Molluscan Cell Biology, Cell Line Development, and Organoid Engineering School Faculty of Arts and Sciences Department/Area Organismic and Evolutionary Biology
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, evolutionary genomics, or a closely related discipline Substantial experience with scientific research in metagenomic analysis If you are in the final phase of your doctorate and can document that the thesis has
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under the following conditions: OBJECTIVES | FUNCTIONS Analyze mass spectrometry data for microbial identification. Assist in the curation of spectra and the development of identification algorithms
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* Design, implement, and evaluate wireless-based experiments in lab and real-world settings. Develop and test algorithms for object detection, tracking, and classification using wireless sensors. Help guide
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strategies Design of user-friendly tools for the identification of unknown compounds from the spectral datasets utilizing various computer algorithms and artificial intelligence tools Participation in high
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will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and
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matter expertise supporting the development of new studies, modeling and simulation, and algorithms. The Post-Doctoral Fellow will work along with the Division Chief and research managers in the Nuclear
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-structures. Develop numerical algorithms and computer codes that can be used to model nonlinear optical effects pertaining to light-matter interaction. Validate the theoretical models and software tools by
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fusion of sensor data and energy harvesting output, enabling adaptive and energy-aware data acquisition from textile-based wearable systems. Build adaptive algorithms that dynamically optimise data