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supervisors of their respective areas, and approves journal entries. The Controller is accountable for the maintenance of an adequate system of accounting records and a comprehensive set of controls designed
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Title: Open Research Support Intern Locations: Beijing About Springer Nature Springer Nature is one of the leading publishers of research in the world. We publish the largest number of journals and
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control systems. This position is responsible for identifying and improving the mechanical, electrical and lighting control systems, expanding and standardizing the automation controls and visualizations
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Eligibility criteria Information clause regarding the processing of personal data The controller of your data processed as part of the recruitment of an academic teacher for the project is Wrocław University
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of its content to authorized institutions. This is necessary for the purposes of the legitimate interests pursued by the controller (Article 6(1)(f) of the GDPR). Data storage period Data processed solely
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implementation of LED drivers for indoor lighting control. 2) Design of server management algorithms on an IoT server for monitoring light sensors and controlling the lighting system. Development of spectral
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registered at the MIMME Doctoral School (https://mimme.ed.univ-poitiers.fr/ ). Institut Pprime is a dedicated research unit (UPR) of the CNRS. Its scientific activities span a broad spectrum ranging from
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well as controls ancillary equipment andsupport systems. Ancillary equipment and support systems are inclusive of, but not limited to: controls, regulators, motors, compressors, air stations, coils, fluid/gas piping
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application! We are looking for a PhD student in automatic control at the Department of Electrical Engineering (ISY). Your work assignments The research area for the position is complex networks and multi-agent
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Engineering, Mechatronics, or Robotics, with a heavy emphasis on dynamic system theory, or a closely related discipline. Strong academic background in applied intelligent control techniques, machine learning