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professional experience, demonstrating the ability to work independently on complex scientific software, would be appreciated, but is not mandatory Proven programming experience in at least one compiled language
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compilation, optimization and error mitigation collaborate with theoretical computer scientists on developing noise-aware quantum programming paradigms Your Profile: Master in physics, computer science
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) analyses • Interaction within the 3RTG in an interdisciplinary manner • Integration of data within all projects and comparative analyses • Compilation of the results for presentations, project reports, and
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tools such as design compiler and Cadence Innovus will be advance Expertise in at least one area as a plus: deep learning (CNN or SNN) hardware development edge AI memory technology Strong problem-solving
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to 1,000 words of their project for the Georg Arnhold Senior Fellowship, compiled with the help of some guiding questions. Pre-selection by the Leibniz Institute for Educational Media | Georg Eckert
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methods like ZX-calculus) towards description of quantum noise employ such extended methods for quantum circuit compilation, optimization and error mitigation collaborate with theoretical computer
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, compiled into one single PDF file (maximum size: 5 MB): CAVECORE application form (downloadable from www.cavecore.eu/Application_Form_CAVECORE.docx ). In this form, applicants are asked to select from one up
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Experimental investigations using AFM and associated data analysis Organizational support for project-related activities and coordination tasks Compilation of results in a scientific paper Ideal Applicants Must
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for mass spectrometry measurements Evaluating mass spectrometry measurements Compiling findings in a scientific master’s thesis Ideal Applicants Must Have: Student specializing in food chemistry
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremen, Bremen | Germany | 2 months ago
relevant information from ML models to understand the relationship between in- and output Experience in harmonizing and compiling real-world datasets from diverse sources Experience using Python or R and