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integrated with the experimenta research led by Dr. Bettina Baumgartner. The two PhD candidates will work across the work packages in parallel so that experiments and computational simulations continuously
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scientific importance. The computational work will be closely integrated with the experimenta research led by Dr. Bettina Baumgartner. The two PhD candidates will work across the work packages in parallel so
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integrated with the computational research led by Ioana Ilie. The two PhD candidates will work across the work packages in parallel so that experiments and computational simulations continuously inform each
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secondments of the PhD student at other involved parties in the network such as the company QuiX (Enschede) and UCL (London). Other trainings and collaborations in the area of quantum error correction
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following areas: Machine Learning, Deep Learning, Reinforcement Learning, Data Mining; Programming; Parallel programming and High-Performance; Computing; Scientific computing, Numerical methods, and Numerical
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proteomics and/or immunopeptodomics in clinical or translational research settings; Demonstrated expertise in: Data-Independent Acquisition (DIA), Parallel Reaction Monitoring (PRM), Quantitative proteomics
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at TU Delft, supervised by Prof. Kofi Makinwa and Dr. Padmakumar R. Rao. You will collaborate closely with the parallel metaoptics PhD researcher, SRON and the other INTERPRETER partners. Job
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and from peers. Running parallel to this are plenary sessions on themes such as thesis topic choice, conceptualising the theoretical framework, methods, data analysis and interpretation, and presenting
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welcome but not required. It is a plus if you additionally have hands-on robotics experience, experience with differentiable / GPU-parallel simulation (e.g. Isaac Lab, MuJoCo MJX, Genesis), or experience
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, usable optical systems such as laser lock circuits and laser sources, iterating quickly based on experimental results and feedback. In parallel, you will contribute to prototyping, validating, and