16 machine-learning-modeling-"Linnaeus-University" PhD positions at University of Adelaide
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Martin Australia invite applications for a project under this program, advancing robotic perception systems through monitoring of their machine learning models. Run-Time Monitoring of Machine Learning
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The Australian Institute for Machine Learning (AIML) offers new PhD scholarship opportunities in Industrial AI. These full-time scholarships support students undertaking their PhDs in AI and machine
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models through specific activation functions. This project will be undertaken in collaboration with Dr Hemanth Saratchandran and Prof Simon Lucey of the Australian Institute for Machine Learning, and
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This PhD research scholarship (Learning Lessons from Drug Resistance to Tackle Herbicide Resistance) is funded by the Australian Research Council to support a full-time PhD student to undertake
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of the role of chromatin in development and diseases like cancer. We seek a highly motivated, creative scientist to spearhead a project using stem cell and models to address a fundamental question in chromatin
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), mouse models, fluorescence microscopy (confocal), genomics, epigenetics, cell biology and biochemistry techniques (e.g., RNA/ChIP-seq, mass spectrometry). Successful track record in conducting and driving
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Statistics for the Australian Grains Industry 3 (SAGI3). Investment. The University of Adelaide, in collaboration with Curtin University and The University of Queensland, is leveraging machine learning, data
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of potential options for implementation. This will include prototyping and testing of various implementation options, analysis and documentation of results. Project 2 - Future Power System Modelling: As part of
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-year stipend scholarship to support pioneering research on wave energy converters. The successful candidate will work on cutting-edge experimental design and numerical modeling to better understand
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research in the field of sustainable housing. Assisting the organisation in developing a cutting-edge, AI-driven platform for home retrofitting digital products. Learning about the integration of AI with