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a PhD in solid-state NMR, DNP, EPR or a related field Have an excellent track record in reserach proven by publications in this field Have a good understanding of NMR theory and computer simulations
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, numerical simulations and experimental implementation of pulse sequences Have experience with computer simulations and programming We offer ETH offers an exciting opportunity to work at the forefront
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proven by publications in this field Have a good understanding of NMR theory and computer simulations Understand the basics of NMR and EPR hardware Be able to optimize and maintain a home-built DNP system
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sequences Have experience with computer simulations and programming Your workplace Your workplace We offer ETH offers an exciting opportunity to work at the forefront of scientific research. Collaborations
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reimbursements, and issue participation confirmations. You maintain the contact database, coordinate the distribution of promotional materials, and oversee public computer maintenance with the assistance of IT
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analysis, processing, machine learning and statistical interpretation of HEP data at CERN in the ROOT project, taking advantage of hardware accelerators. Join CERN's SFT group in the Experimental Physics
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experiments workflows in areas such as simulation, classification, or anomaly detection using machine learning and deep learning methods, exploring, in particular the performance of Quantum Computing
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libraries developed by CERN and its partners to deploy machine learning algorithms on FPGAs. Leading the development of a library for hardware-aware end-to-end training and optimization of neural networks
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variability described in the data by means of uncertainty aware calibration and Bayesian estimation Include how experts currently operate and acquire feelings for the machine they are driving, also based on a
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proprioceptive technologies, and controlling the hand through sophisticated control algorithms and machine-learning techniques. Job description The doctoral research will be multidisciplinary, involving