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computer science or electrical engineering from a reputable university On top of systems and/or hardware security, we also consider applicants who have instead worked on computer systems or hardware design topics
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improving electric vehicle performance, safety, and lifetime. This PhD, in collaboration with Jaguar Land Rover, will develop physics-informed, state-based estimation algorithms for Lithium-ion battery
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section of the page and the section entitled “PhD Fellow”. There is a mutual probationary period of 3 months for the position. Where to apply Website https://aau.varbi.com/en/what:job/jobID:971247/type:job
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grids, multi-vehicle automated driving and human-machine collaboration, enabling safer, more efficient and more sustainable operations. Your responsibilities As a PhD researcher, you will: Analyze
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architectures to tailor the function and properties. For further information about the research group, see webpage http://ashokkeerthi.weebly.com/. The successful applicant should have, or be working towards a
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as part of a research team to meet agreed project outcomes, timelines and milestones. Qualifications: Mandatory for Academic Level A appointment: PhD or close to submission in robotics, machine
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robotics, machine learning or other relevant disciplines. Mandatory for Academic Level B appointment: PhD in robotics, machine learning or other relevant disciplines. Please Note: Appointment to
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Compensation . Required Qualifications for Scholarly Assistant Professor: MS or PhD in Electrical Engineering or related field by December 15th, 2026. Demonstrate strong teaching, communication, and leadership
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Help to build the digital backbone of tomorrow's Power-to-X plants. This 3-year PhD position offers a unique opportunity to build a research career at the intersection of digital twins, multi
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/363551/phd-physics-informed-machine-le… Requirements Additional Information Website for additional job details https://www.academictransfer.com/363551/ Work Location(s) Number of offers available1Company