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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 21 days ago
research challenges in: dynamical systems differential games optimal control numerical optimisation and/or machine learning in control About the opportunity The successful applicant will become part of a
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will develop a novel modelling framework that translates climate signals to support cost-optimal long-term investment decisions, while also considering operational feasibility. The successful candidate
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outcomes using both imaging and molecular biology methods including confocal microscopy and RNAscope Design and conduct any downstream, secondary assays for hit validation and lead optimization. Work with
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research project, where you will be part of the research team to develop solutions for adapting CCS2 chargers for marine electrical vessels and optimizing DC fast charging technology for marine applications
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vascular senescence. Independently design, optimize, and troubleshoot advanced molecular and cellular biology experiments. Perform RNA/DNA isolation from cells, tissues, and biofluids; conduct real-time and
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, Information, Intelligence, Communications, Automation, Decision, and Autonomy (CIICADA) Lab where we explore innovative research challenges in: dynamical systems differential games optimal control numerical
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development, paleo-climate data collection, and applied mathematics. Our goal is to make optimal use of past climatic information to better understand Earth’s climate response to various kinds of forcing
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of Physical and Mathematical Sciences. We are seeking a Research Fellow to contribute to the research agenda of the project ‘Geometric Optimization and Design in Learning and Robotics'. Key Responsibilities
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to optimize treatment for female genital schistosomiasis. The post holder will join the LSHTM Schistosomiasis Research Group. The duties of the post will involve coordinating and writing ethical approval
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of the Center for Innovation in Biomedicine and Biotechnology, University of Coimbra, is dedicated to the optimization of mRNA manufacturing. The selected candidate will assist the team in designing nucleic acid