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Field
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obtained by MOCVD deposition. A PhD student at LMGP is currently developing and optimizing the operating conditions to control nanowire geometry, network density and connectivity, and coverage. The recruited
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opportunity for someone who thrives in an interesting and challenging work environment. Core responsibilities include: Research in the intersection of discrete optimization and machine learning, including
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Deutsches Zentrum für Neurodegenerative Erkrankungen | Bonn, Nordrhein Westfalen | Germany | 23 days ago
visit the website of PRECISE www.dzne.de/forschung/precise/ The successful candidate will work together with the PRECISE team and use the most advanced scOMICs methods (BD Rhapsody, 10X Genomics, Parse
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variational models and deep learning techniques. You will implement and validate reconstruction algorithms, ensuring their performance, robustness, and efficiency for clinical application. You will participate
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Mingzhao Liu and Charles Black. Your project will involve fundamental materials science and device physics investigations for applications in superconducting qubits. In this work, you will spend part of your
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valued. Interested candidates should submit a CV and include past research accomplishments in a cover letter and areas of interest for postdoctoral work. The Avgousti lab is focused on the mechanisms by
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STM systems, each optimized for ESR-STM experiments. As a postdoc, you will be responsible for the daily operation of the lab. Together with the dedicated technical staff, you will ensure
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environments. Working closely with partners in the NEXPECH₂ project, you will analyze their materials and provide valuable insights to help optimize device performance. Additionally, you will support
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and power converters. Our work spans from fundamental modelling and analysis to advanced control design and system optimization. Our specialty is developing embedded control, estimation, and
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based on performance and available support. Environment and Opportunities The lab focuses on developing AI methods to improve patient diagnosis, prognosis, treatment response prediction, and treatment