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                Field
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                mitigation strategies. Validate, analyze, and interpret experimental data. Develop algorithms for near-term hardware based on critical evaluation of the literature, and original thinking. Design quantum 
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                research in computational pure mathematics through the development of mathematical software Base Salary, Academic level A/B $109,263 - $151,328 + 17% superannuation About the opportunity The School 
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                . This role will contribute the development of novel machine learning algorithms for wireless sensing and communication and the proof of concepts for next-generation wireless communication, collaborating with 
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                We are looking for a Research Fellow to conduct the research for the project entitled “Manual Assembly Job Quality Inspection”. The role will focus on research and development of AI algorithms 
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                , Massachusetts. Your key responsibilities will be to: design and implement mathematical algorithms, and facilitate their integration into Magma engage with users, researchers, and developers, both internally 
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                , interoperability, and compliance with emerging grid standards. Key Responsibilities: Design and develop control algorithms for grid-forming converters. Conduct simulation and experimental validation using real-time 
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                resiliency, and energy management algorithm development using MATLAB/Simulink for marine microgrid applications. Knowledge on control is highly preferred. Have experience and commitment to supervising student 
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                (OpelRT or Typhoon), electrical system design for better efficiency and system resiliency, and energy management algorithm development using MATLAB/Simulink for marine microgrid applications. Knowledge 
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                Performance . About You The successful candidate will play a key role in the development and validation of computational tools that integrate spatial transcriptomics, algorithmic methods, and machine learning 
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                . Develop intelligent algorithms that allow cooling systems to be controlled based on sensor inputs, ensuring adaptation to different scenarios and operating conditions; 4. Integrate and validate