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the other members of the wider project team. To be successful in this position, you will have: PhD qualification in the relevant discipline area, such as computational/theoretical physics or chemistry, or
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opportunity for an early-career or emerging researcher to contribute to cutting-edge work in: Multiagent systems and distributed control Learning and optimisation Variable structure and sliding mode control
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opportunity for an early-career or emerging researcher to contribute to cutting-edge work in: Multiagent systems and distributed control Learning and optimisation Variable structure and sliding mode control
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experience in the key focus areas: Emerging track record and recognition for quality research outputs in the field of biological mathematics. Demonstrated mathematics and computer programming skills with
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imaging. Within our research program, you will perform grant funded research developing novel algorithms or building new dynamic imaging systems that account for patient motion (breathing, cardiac, etc
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higher degree by research candidates, staff and industry, together with a strong commitment to teamwork and multidisciplinary collaboration. Qualifications Mandatory: PhD or equivalent in a relevant field
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, supported by talented professional staff. We offer higher education programs across all STEM disciplines at the Bachelor, Master and PhD levels, and ensure our students experience an education that is work
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Overview: Based in Barcelona, in a collaborative and dynamic international team Experienced computational modeler / mechanical engineer Full-time, continuing role The Postdoctoral Fellow will be
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research teams, in particular post-doctoral staff working on water-related research funded by the AuSpire program as well as undertake supervision of research students. Extend the research performance and
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://www.youtube.com/watch?v=AkyZpYjxNBc To be successful in this position, you will have: Completion of a PhD in a relevant discipline area (level B-E). Experience/understanding of working with Aboriginal and Torres