281 phd-in-computational-mechanics-"Multiple"-"Prof" Fellowship positions in Australia
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for uncertainty quantification in learned computer vision. The person should have a PhD in Computer Vision or a closely related field, and a demonstrated strong track record in this field. This should include
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projects Demonstrated ability to work collaboratively on research projects with multiple stakeholders Demonstrated experience in undertaking quality research activities which maximise publishing outputs in
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research candidates, staff and industry, together with a strong commitment to teamwork and multidisciplinary collaboration. Qualifications Mandatory: PhD or equivalent in Biomedical Engineering, Mechanical
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they will need in an increasingly disrupted and challenged world. The Research Fellow will be located in the MAIC-QUT Road Safety Research Collaboration (MQ Collab), a three-year research program focused
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software packages while collaborating effectively in a multidisciplinary research environment. You may also: Hold a Masters or PhD in Computer Science, Bioinformatics, Computational Statistics, or a
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an opportunity to develop a strong research profile and gain national recognition in the field. Key responsibilities will include: Research: Establish a research program, collaborate on research projects, seek and
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responders and operational risk assessment regarding skin decontamination and will build on a program of work focused on dermal exposure to chemicals. To be successful you will need: Completion of a PhD in
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, preferably gas fermentation. Key responsibilities will include: Research: Contribute to an established research program in gas fermentation, collaborate on research projects, seek and manage research funding
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Wildlife Crime Research Hub as part of the ARC Industry Laureate Fellowship program, Combatting Wildlife Crime and Preventing Environmental Harm at one of Australia’s leading research institutions
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two referees), a statement of research interests and achievements. Selection Criteria: A PhD in analytical biochemistry, biosensors, nanobiotechnology or equivalent qualifications; Ability to undertake