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Field
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communication, or signal processing. Proficiency in programming languages like Python, MATLAB, or C++, and experience with AI/ML frameworks like TensorFlow, PyTorch, or scikit-learn. A proven track record of
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, Large Language Models (LLMs), Natural Language Processing (NLP), etc. The research will also explore distributed data processing frameworks to ensure robustness, interoperability and scalability in DPP
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of pre-existing and new eDNA metabarcoding datasets obtained in Australian coastal waters. Co-develop a new computational tool and/or indices for detecting early signals of marine ecosystem change. Lead
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unresolved challenges in sampling design, DNA recovery, and signal variability. Towards this end, CSIRO has recently formed a multidisciplinary team, in collaboration with the Minderoo Foundation, dedicated
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the feasibility of a full ultrasound image analysis pipeline for the extraction of volumetric assessment of the fetal brain using point-of-care ultrasound devices. The post holder will play a key role in acquiring
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The successful applicant will have (or be near to completion of) a PhD in Computer Science with expertise indeep neural networks, preferably with expertise in any of the following subfields: signal processing and
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point AC3 – Research and laboratory experience in: AI and Computer Vision applied to complex problems; Autonomous systems and robotics, including drones applied to urban mobility; Data analysis
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and TensorFlow) Fluent oral and written communication skills in English Desired qualifications: It is desirable that the candidate has good knowledge on transformers, natural language processing (NLP
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and mathematics with a good grounding in geophysics, remote sensing and data analysis. Candidates must have a Master’s degree in geophysics, mathematics signal processing or physics, and a PhD in
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and mathematics with a good grounding in geophysics, remote sensing and data analysis. Candidates must have a Master’s degree in geophysics, mathematics signal processing or physics, and a PhD in