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Field
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-dependent changes in electrical impedance with real-time high-speed distance measurements. In a parallel project, another Postdoc will, partly based on two current ongoing PhD projects, design and test
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Post Doctoral Researcher in Digital Twins CO2-to-Protein production in collaboration between the ...
mission enabler programme under CORC, where other modelling activities will run in parallel to support and be supported by the findings of the digital twin solution. This innovative ambition is shared with
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mission enabler programme under CORC, where other modelling activities will run in parallel to support and be supported by the findings of the digital twin solution. This innovative ambition is shared with
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fertilizer production, is a major starter client for the University providing capital and research funds. In parallel, a new portfolio of clients is growing with the development of an R&D cluster around the
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partners/customers in parallel. Work outside standard office hours could be required on an occasional basis during peak periods and special events. Personal protection equipment (furnished) May work around
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to read Japanese. Experience in parallel scientific programming. Experience with High Throughput calculations. Other research and software engineering experience will be considered Availability to travel
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parallel testing facilities for companion dogs and children, including equipment for eye-tracking, thermal imaging, touch screen studies, behavioral analysis from video. There is also the possibility
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parallel/multiplexed assays, etc.) is desirable. Ability to interpret and discuss experiments and critically contribute to writing of manuscripts and grant proposals is expected. Well-organized, able
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multicore parallelism with SYCL Lead and contribute to our research on adaptive parallelism with OpenMP Research how to efficiently compile SYCL and OpenMP programs on RISC-V platforms Co-supervise PhD
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Postdoctoral Appointee - Uncertainty Quantification and Modeling of Large-Scale Dynamics in Networks
: Expertise in rare event simulation, deep learning, and developing computationally efficient approaches for simulation and modeling in complex systems is highly desirable Experience with parallel computing