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trials, analyze data, and publish findings in high-impact journals. The role requires active participation in an interdisciplinary team to evaluate and optimize integrated soil fertility management
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 19 hours 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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, National University of Singapore. Key Responsibilities • MMV system performance evaluation and optimization in tropical climates. • Design and conduct thermal comfort and indoor environmental quality
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: analytical chemistry, sustainable chemistry, and organic chemistry. PhD programmes are conducted in five areas: analytical chemistry, physical chemistry, materials chemistry, inorganic chemistry and organic
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tools and pipelines; develop and optimize workflows for omics data interpretation. • Develop and maintain GitHub repositories and user-friendly scripts for data visualization by other researchers
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tools and pipelines; develop and optimize workflows for omics data interpretation. • Develop and maintain GitHub repositories and user-friendly scripts for data visualization by other researchers
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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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structured around two main pillars: Network resilience and sovereignty, i.e., research on networking architectures and mechanisms that keep critical networks and applications they support running optimally
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Investigator (PI) or team lead with project management tasks. Job Requirements: PhD degree in Optimization, Artificial Intelligence, Transportation or Aerospace. Evidence of developing Machine Learning and