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Field
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efficient algorithms and machine learning/artificial intelligence methods in combination with complex network analysis tools to predict and model interactions between food and biological systems • Further
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data analysis and develop sophisticated mathematical models for simulating power system behaviors under various scenarios. Development and Testing: Design and develop control algorithms to enhance grid
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pioneering research and innovation hub in AI—one that will shape the way humans and machines collaborate for decades to come. Led by Prof. Usama Fayyad, the Institute for Experiential AI is built around the
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: Employing satellite observation and machine leaning to improve model representation of ice sheet surface melt”. The candidate will work under the direction of Prof Nowicki and in collaboration with multiple
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that amplify human potential. The successful candidate will engage in innovative research projects in ML, focusing on developing novel ML algorithms, enhancing human-AI collaboration, and exploring systems
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and Ph.D. students. Research environment You will join the ‘Multiphysics Simulation and Optimisation’ (MSO) research group lead by Assc. Prof. Joe Alexandersen at SDU Mechanical Engineering (SDU-ME) in
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algorithms for advanced and multi-modality imaging. Work on system designs, physics models, computation, benchtop experiments with small animals, and clinical translation. Additional areas of interest are in
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algorithms, and decision-support tool development. Responsibilities will include programming, analysing and interpreting data, and contributing to innovative solutions that support maritime decarbonisation
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University of British Columbia | Northern British Columbia Fort Nelson, British Columbia | Canada | 3 months ago
to Dr. Cyrille Kenne (kenne@math.ubc.ca ) with a cc to Prof. Rashid Sumaila (r.sumaila@oceans.ubc.ca ), along with the subject line “Application for a Postdoc at UBC in Maths for Fisheries”. (B
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School of Physical and Mathematical Sciences (SPMS) Nanyang Technological University, Singapore Associate Prof / Full Professor in Optimization, Control, and Scientific Computing Young and research