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Field
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Researcher, you will support Prof. Yuping Zeng with the frontier of analog circuit design, implementation and characterization, preferably for neuromorphic computing with emerging devices. Major
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. Neil Sinclair and Prof. Marko Lončar), where TFLN devices will be fabricated at DTU and TFLT at Harvard. Scientific Environment The project is funded by The Novo Nordisk Foundation and anchored at DTU
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based in the working group “Welfare and Policy Design”, headed by Prof. Dr. Matthias Kalkuhl at Research Department “Climate Economics and Policy”. The candidate will work in a growing team aiming to
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. Core responsibilities include: Code development and maintenance. Generation and dissemination of journal and conference papers. Proposal development and writing. About the Lab: MADAL, led by Prof. Leitao
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. The successful candidate will join the group of Prof. Youssef Iraqi. Context Wireless sensor networks (WSNs) and Internet-of-Things (IoT) are among the leading enabling technologies for smart systems
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lattice field theory and numerical methods, with experience in HPC programming (e.g., C++, Python, MPI, OpenMP, CUDA) and parallel computing environments. - Experience in performance analysis, debugging
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of the TOBI team is to enhance precision cancer management by developing innovative wet-lab and bioinformatic tools for diagnostic, prognostic, and predictive analysis. Prof. Katleen De Preter is the principal
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group, led by Prof. Dr. Kristel Michielsen. For more information about the research group have a look here: https://www.fz-juelich.de/en/ias/jsc/about-us/structure/research-groups/qip Your Profile: Master
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programming languages and tools commonly used in robotics, such as C , MATLAB, Python, and ROS. Excellent communication and collaboration skills, with the ability to work effectively in an interdisciplinary
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molecules in optical lattices. The project is a collaboration with researchers in Paris and Warsaw. The post holder will work directly with Prof. Simon Cornish (Physics) and Prof. Jeremy Hutson (Chemistry