57 software-formal-method-phd Fellowship positions at The University of Queensland in Australia
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and Optimisation. You will have: Completion of a relevant undergraduate and PhD in microbiology, biotechnology, biochemical engineering or related discipline with subsequent experience cultivating
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Completion or near completion of a PhD in a relevant field. Demonstrated expert knowledge and experience in modelling and control in water and/or wastewater systems, and data science and data analytics methods
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opportunities via the academic promotions process. About You Completion or near completion of a PhD in human-centred AI, human factors/cognitive psychology for decision support, or closely related area. Openness
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Academic Level B: Completion of a PhD in the field of Computer Science/Artificial Intelligence. Software engineering expertise, including design and implementation of AI-based models (machine learning, deep
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for Australia. Key responsibilities will include: Research: Extensive experience in power systems stability assessment when only black box models are available. Develop new data-driven impedance modelling method
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(including cereals and legumes), develop crop modelling software, combining modelling and experimental approaches to improve yield and resource-use efficiency. Collaborate, mentor, and grow—supervise students
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viewing UQ’s Criteria for Academic Performance . About You Completion of a PhD in cell biology or immunology. A growing profile in research in the molecular and cellular immunology area. A developing
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to our $4.1 million UQ Sports facility On campus childcare , medical clinic, post office, and community garden Free parking and intercampus bus About You PhD in sustainable agriculture, agribusiness
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the academic promotions process. About You Completion or near completion of a PhD in genomics, bioinformatics, or a related field relevant to genetic mapping; or completion of a Diploma with relevant work
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found by viewing UQ’s Criteria for Academic Performance . About You Completion of a PhD in pharmaceutical sciences. A growing profile of research in opioid pharmacology and/or opioid drug discovery. A