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Field
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We are seeking a full-time Postdoctoral Research Associate in Machine Learning for Grid-Edge Flexibility to join the Power Systems Architecture Lab within the Department of Engineering Science
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manipulation, and metasurfaces. Who we are looking for We seek candidates with the following qualifications: The applicant should have a PhD degree in physics, optics, nanoscience, or a related subject area. The
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Department of Chemistry and Chemical Engineering , contributing to a highly interdisciplinary research setting. We seek candidates with the following qualifications: PhD in materials science, physics, polymer
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management systems BMS architectures against cyber threats, ensuring system safety, reliability, and performance through advanced security techniques. You will work on a European-funded project. Job
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sustainability, life cycle assessments, and mathematical modeling. The position may also include teaching on undergraduate and master's levels as well as supervising master's and/or PhD students to a certain
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for modern heterogeneous architectures, including CPUs, GPUs, and other accelerators, the project seeks to achieve unprecedented efficiency and resolution in plasma simulations. This advancement will enable
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PEACEPLUS 4.1-funded initiative. This role will focus on data analysis and architecture research, investigating the e-health deployment aspects of the PEACTIME protocol. The PDRA will assess the effectiveness
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are looking for someone with a PhD in computer science, electrical engineering, mathematics, statistics, data science, operations research, or other related fields. You have strong coding skills in Python and
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University of British Columbia | Northern British Columbia Fort Nelson, British Columbia | Canada | 1 day ago
: · PhD in Mathematical Biology, Ecological Modeling, Economics, Fisheries Science, or a related field. · Strong background in ecological and/or economic modeling, population dynamics, and quantitative
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change on new architectures will be a key focus. Position Requirements Required skills, knowledge and experience: A recently completed (within the last 0-5 years) or soon-to-be completed PhD. in