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Field
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world-leading fundamental and applied research within communication, networks, control systems, AI, sound, cyber security, and robotics. The department plays an active role in transferring inventions and
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full translational pipeline — from developing and optimizing cell enrichment and molecular profiling workflows, through single-cell characterization of circulating tumor-associated cell populations
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capable of automatically selecting the simulation strategy best suited to a given prediction objective, while optimizing the trade-off between accuracy and computational cost. The work will build on multi
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optimized physical and mechanical properties, in particular for energy-related (e.g., solar cell), aerospace and nuclear applications, where materials are exposed to ion irradiation. Although the effects
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on ultrafast chirality and attosecond electron dynamics, aiming to develop new methods for probing and controlling chiral light–matter interactions with applications in photonics, biosensing, and materials
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. Using controlled in vitro exposure experiments combined with high-resolution analytical techniques (HPLC, ICP-MS, Seahorse XF), the PhD student will characterize MN kinetics, dose-response relationships
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part of the SynthImmune Cluster of Excellence, which brings together leading groups in virology, cancer, immunology, and bioengineering to understand and harness the principles of immune control
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conditions, controlling sound masking systems, optimizing audio playback levels, and supporting other acoustic interventions to improve occupant comfort and building performance. The research will adopt a
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generation in PBMAs; contributing to the development and optimization of analytical methods; publishing your results in peer-reviewed scientific journals and presenting them at (inter)national scientific
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NAS that considers accuracy, latency, energy, and carbon at the same time. Delivering a carbon-aware NAS framework that generates Pareto-optimal model architectures and model libraries whose variants