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Processing and Image Analysis Group, Section for Machine Learning, Department of Informatics. You will be part of Visual Intelligence and the DSB group. For more information about the position see https
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Appointment Term: 1-2 years Appointment Start Date: January 2026 Group or Departmental Website: https://greiciuslab.stanford.edu/ (link is external) How to Submit Application Materials: Please email application
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Degree PhD Course location Potsdam In cooperation with This programme is offered by the Faculty of Digital Engineering, a faculty jointly founded by the Hasso Plattner Institute (HPI) and the
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LevelMaster Degree or equivalent Skills/Qualifications Master Degree in an area related to ICT: Electrical Engineering, Computer Science, Mathematics, ... or equivalent proven experience. Proven knowledge
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employees and is characterised by a friendly, inspiring and international atmosphere, with a large number of employees from all over the world. The PhD student will be included in Machine- and Materials
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: Enhancing full-scale power-speed assessment reliability by using IoT and big data management Summary This PhD research focuses on uncertainty challenges caused by various disturbances (wind, wave, current
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strengths in Power/Energy and Power Electronics while also connecting to application-driven areas of Electrical Engineering, such as Energy Storage, Cyber-Physical Systems, Machine Learning, and Intelligent
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Current University of Arkansas System employees, including student employees and graduate assistants, need to log in to Workday via MyApps.Microsoft.com , then access Find Jobs from the Workday
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. The appointment is renewable, with an initial term of three years, beginning September 1, 2026. More information about the Social Sciences Core can be viewed in the College’s online catalog: http
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. You can continue your career journey with us! The Slomka Laboratory focuses on developing innovative methods for fully automated analysis of nuclear cardiology data using novel algorithms and machine