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University of British Columbia | Northern British Columbia Fort Nelson, British Columbia | Canada | 3 months ago
and motivated postdoctoral research fellow with expertise in numerical analysis, numerical scientific computing (including high performance scientific computing), and finite element numerical methods
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We are looking for PD candidate for a joint project between the groups of Prof. Ben Feringa and AkzoNobel, within the framework of the Advanced Research Center Chemical Building Blocks Consortium
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advanced control and learning algorithms, particularly in the context of human-robot interaction, in addition to an experience in working with real robotic manipulators. Demonstrate a high degree of self
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can be engineered to improve Rubisco's catalytic activity. The research programme will provide insight into direct molecular responses to carbon dioxide in prokaryotic and eukaryotic photosynthetic
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process. Algorithms will in the first instance be designed for radio astronomy and validated at extreme scales, leveraging dedicated high-performance computing implementations. Technology transfer
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independent policy advice on all aspects relating to the structure and functioning of the financial system. It aims to contribute to strengthening a sustainable and resilient financial system that drives
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: Qualifications A good first degree in an Engineering related subject. A PhD (or be close to submission) in Marine, Mechanical, Thermal Engineering or Computer Science. Experience Experience in conducting high
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of the Faculty of Physics, Astronomy and Applied Computer Science, Jagiellonian University (Krakow, Poland). We seek candidates with a versatile profile and a good knowledge of general relativity and quantum field
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. Additional skills for Image Science: Programming, careful data analysis, high-performance computing, shell scripting (c, bash), medical imaging Candidates with a recent PhD or those anticipating Ph.D. (all
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genomics, protein engineering, cloning/assembly workflows, cell line development). You will work closely with computational experts to establish innovative, high-throughput, high-fidelity screening platforms