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reports Mentor students and contribute to teaching at RWTH Aachen Your Profile: Completed Master’s degree in chemistry, physics or related fields Previous eperience with magnetic resonance required
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our group. We are seeking an applicant with a robust background and experience in machine learning and quantum computing to contribute meaningfully to this project Key to the success of this project
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Your Job: We look for excellent candidates who are interested in experimental work on van der Waals heterostructures for the engineering and characterization of exotic superconducting phases
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mentoring for setting up a future career in science and/or the industry Further development of your personal strengths, e.g. through an extensive range of training courses; a structured program of continuing
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automation experts to develop and use a reliable, fast, electrochemical testing process Your Profile: Excellent master degree in process, electrical, chemical, or mechanical engineering or a related discipline
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Your Job: In collaboration with the Chair for Production Engineering of E-Mobility Components (PEM) at RWTH Aachen University, this thesis aims to determine the impact of raw material costs
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Your Job: Quantum computing is a promising, disruptive technology for solving optimization and simulation problems which is at the heart of energy grid design and operation. As part of a large
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technical and organizational skills Experience in circuit design and programming is a plus Experience in handling drones is a plus Good computer skills Personal initiative and the ability to work
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technology Fluent command of written and spoken English Leadership and communication skills Ability to work autonomously in close interaction within a team And most importantly: enthusiasm to explore uncharted