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department (GRS) working closely with PhD researchers, postdocs, and professors in an open and collaborative environment, where you will receive full support and training to grow in your career. This project
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addresses the design of wholesale, balancing, reserve, and capacity markets under high shares of variable renewable generation; price formation, scarcity pricing, and locational signals; network charging and
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quantum systems. Requirements You have a PhD degree in physics, applied physics, nanoelectronics or comparable discipline at the time of taking on the position. Prior experience in solid-state quantum
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work with 4 PhD candidates across the universities involved, who will be hired for this project. Job requirements PhD in building engineering, meteorology, civil engineering, or related fields
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requirements For this postdoctoral role, we are looking for someone with a demonstrated background in SAR processing, SAR applications in agriculture and machine learning: A PhD in Earth Observation, Geodesy
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concerns applied science for and often with public and private partners. Job requirements We are looking for a highly motivated researcher with: A PhD in a relevant discipline, such as urbanism
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PhD in genomics, population genetics, evolutionary genetics, forest genetics, bioinformatics or a related field; a strong background in plant, forest, population or evolutionary genetics/genomics, with
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a diverse international team of postdoctoral researchers, PhD candidates and technicians with complementary expertise in modelling, molecular biology, genomics, microbial physiology, synthetic biology
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Yale School of Medicine - Department of Genetics | New Haven, Connecticut | United States | 2 months ago
. The position is supported by NIH funding and sits within a rich collaborative network at Yale, including the Yale Cancer Center, the Yale Stem Cell Center, the Wu Tsai Institute, and computational collaborators
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for support in technology development. You will work closely with a PhD researcher at the German partner who focuses on the underlying machine learning models, and you will help coordinate the joint work across