71 atomic-physics "Department of Mathematics" Fellowship research jobs at The University of Queensland
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Innovation (QAAFI). You will lead and leverage your established record of achievement and national/international recognition to engage in current and new horticultural breeding programs. You will use
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and the management of researcher development. Effective lead and develop supervisee performance and conduct by providing feedback, coaching, and professional development. Citizenship and Service
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to the effective supervision of Honours, Postgraduate and Higher Degree by Research students (as appropriate). Contribute to in the training and mentorship of junior members of the team. Effective lead and develop
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. Produce high-quality research outputs by publishing in national research journals, presenting at conferences, and taking a lead role in research outputs. Actively seek, obtain, and manage research funding
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). Demonstrates personal effectiveness in supervision and the management of researcher development. Effective lead and develop supervisee performance and conduct by providing feedback, coaching, and professional
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Sustainable Minerals Institute / BRC Join a university ranked in the world’s top 50 Genuine career progression opportunities via our academic promotions process Access state-of-the-art facilities
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of Agriculture and Food Sustainability, Maths and Physics, and Electronic Engineering and Computer Science as well as from QAAFI (Queensland Alliance for Agriculture and Food Innovation – co-funded by
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School of Biomedical Sciences Join a university ranked in the world’s top 50 Genuine career progression opportunities via our academic promotions process Collaborate with highly awarded, world-class
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Development: Contribute to effective student supervision. Demonstrate effectiveness in researcher management. Lead supervisee performance and development. This is a research focused position. Further
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School of Mathematics and Physics Analytics for the Australian Grains Industry (AAGI) Play a lead role in developing crop trait prediction solutions Utilizes physics-informed machine learning (PIML