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control engineering at both undergraduate and graduate level at Chalmers, including within the master’s programme Systems, Control and Mechatronics. About the research project High-power charging is
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Neuromorphic computing is emerging as a key technology for future energy-efficient artificial intelligence. At Peter Grünberg Institute- Semiconductor Nanoelectronics (PGI-9) , we develop innovative
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School of Engineering Sciences in Chemistry, Biotechnology and Health at KTH Job description Quantitative analysis of lipid nanoparticles (LNPs) using Cryo EM is challenging due to heterogenous
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of grant proposals. Required Qualifications • PhD in Neuroscience, Biomedical Engineering, Psychology, or a closely related quantitative field. PhD must be awarded no more than four years prior
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, engineering, computer science, or a related field. Experience with inverse problems and 3D reconstruction methods for tomography, laminography, or a closely related modality. Strong scientific programming in
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information on the QML-CVC team visit: http://qml.cvc.uab.es CANDIDATE ’S PROFILE The candidate should possess a PhD in Quantum Information or Quantum Computing at the time of enrollment, and have experience
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Are you passionate about shaping the future of healthcare? Do you want to develop technology that truly matters in people’s lives? Join us in creating radical innovations that support patients
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, the applicants should have: PhD diploma in Transportation, Logistics, Civil Engineering, Mechanical Engineering, Maritime Engineering, or any other related field. Experience with agent-based modelling is essential
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2027 - 12:44 (UTC) Country Luxembourg Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
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EPFL, the Swiss Federal Institute of Technology in Lausanne, is one of the most dynamic university campuses in Europe and ranks among the top 20 universities worldwide. The EPFL employs more than