293 phd-in-architecture-landscape-built-environment Fellowship positions in Australia
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up to five years’ research experience since conferral of your PhD, or an equivalent period when adjusted for significant career interruptions. This role is suited to outstanding researchers who
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Integrated Planning & Learning and Reinforcement Learning in non-deterministic and partially-observed scenarios. The methods will be evaluated on physical robots. The ideal candidate would have: A PhD (or
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gauges and hydraulic systems. Ability to work autonomously whilst displaying a strong commitment to work in a team environment, including the demonstrated ability to confidently and effectively work with
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, actuators, strain gauges and hydraulic systems. Ability to work autonomously whilst displaying a strong commitment to work in a team environment, including the demonstrated ability to confidently and
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postgraduate courses offer professionals opportunities to develop their abilities and advance their careers and our PhD program has launched a thousand research careers. About the opportunity The Marine Omics
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an environment where interdisciplinary collaborations are encouraged. At the core of our teaching remains our students, and their experience with us sets a foundation for success far beyond graduation. UQ has made
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collaborative team making a real impact on women's and children’s health. About You To be successful in this role you will demonstrate: Postgraduate or PhD qualifications in epidemiology, statistics
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: Completion or near completion of a PhD in bioinformatics, statistics, data science, microbiology, nutrition science or immunology. An emerging profile in research in microbiome, immunological disease
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Proficiency in analytics, AI, and modern data science tools Excellent problem-solving, project coordination and communication skills A PhD or equivalent research experience (preferred) Experience with clinical
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-renewable-energy-engineering Skills & Experience: A PhD in Computer Science or a related field. Thorough theoretical background in machine learning and deep learning. Demonstrated experience in developing