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Field
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application! Work assignments The Division of Automatic Control at the Department of Electrical Engineering invites applications for a postdoctoral position in optimal motion planning and model predictive
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for the Raman lasers. This will improve our control over the alignment of the lasers and compensate for Coriolis acceleration. In order to improve our control over the initial position of the atoms, new PMO
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development for lidar control. Data evaluation is an essential part of the project work to distinguish between natural variability of the observed metals and aerosols and anthropogenic effects. Your
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, the research involves participation in the design of quantum devices with our collaborators within the QLSI2 european consortium, optimization of spin readout at large scale, development of automatic control
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/InstituteDepartment of Automatic Control (ESAII)CountrySpainState/ProvinceBarcelonaCityBarcelonaPostal Code08028StreetAv. Diagonal, 647Geofield Contact State/Province Barcelona City Barcelona Website https
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fellow devotes most of their time to research. There is the possibility of teaching up to 20%. Requirements Requirements PhD degree in in machine learning, automatic control, system identification, signal
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. Experience with scientific writing and presenting. Further project-relevant writing skills are an asset. Excellent command of written and spoken English. While not mandatory, proficiency in an additional
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languages such as R, Python, Matlab. Familiarity with software development best practices (e.g., unit testing, version control). Familiarity with inferential statistics and machine learning. Expertise in
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., economics) Excellent command of English (spoken and written); Czech not required High motivation with proactive and independent work ethic Strong skills in quantitative data analysis; experience with R
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research ideas within the scope of the project Your Profile PhD in psychology, sociology, or a related field (e.g., economics) Excellent command of English (spoken and written); Czech not required High