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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Welcome to Maastricht University! Join us in optimizing transcranial
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flow batteries (RFB), enabling affordable and durable long-duration energy storage. The approach is to use hierarchical structures, i.e. complex material layers that can be optimized to specific battery
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and the optimal stimulation settings for epilepsy treatment remain unclear. What you do As a PhD candidate, you will explore how individual differences in brain responses to TMS can inform personalized
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flexibility. To fully unlock this potential, we need advanced tools that digitally replicate these networks and support optimized design and data-driven control strategies. As our PhD candidate, you will
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engineering starts from use cases (typical and exceptional) and various system scenarios (different operating modes, failures). This will require the development of suitable domain-specific languages (DSLs
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the initial phase, you will develop and optimize physical and numerical models describing the electron optics of the complete probe-forming column, including the multi-beam generation unit, imaging lenses
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three main phases. In the initial phase, you will develop and optimize physical and numerical models describing the electron optics of the complete probe-forming column, including the multi-beam
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. • Models of network congestion, and solutions for planning and co-optimizing electricity and heating networks to avoid congestion issues •. Validation of proposed techniques through principled multi-agent
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within different compartments of a single cell in live animals, enabling us to examine hypotheses in a truly physiological context. In this project, you will contribute to both engineering and neurobiology
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optimization algorithms, you will design structures that deliberately harness modal couplings to exhibit tailored nonlinear behaviour, with direct applications in ultrasensitive resonant sensing. Together