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Field
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you will design the next generation of energy-efficient digital integrated circuits, taking them from RTL to a fabricated chip and PCB that you measure in our own labs. The position is part of
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, advanced packaging, backside power delivery networks, and chiplet-based architectures require new methodologies to model and optimize system behaviour beyond the traditional chip boundary. You will develop
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PhD Position Simulating the Airspace of the Future: Fleet & Network Optimization for Future Aircraft
current and future aircraft models + Evaluating how these differences affect fleet assignment and network planning + Optimizing airline operations (e.g., fleet composition, scheduling, routing) based on new
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PhD position on quantum error correction for photonics. Job description As part of a new European Marie Curie Doctoral Training Network focused on quantum error correction and fault tolerance
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Candidates (DCs) of the MSCA Doctoral Network AEGIS — Adaptive Grid-Interactive Edge Datacenter Fleets . Marie Skłodowska-Curie fellowships are among the most respected and best-paid PhD positions in Europe
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PhD Position Simulating the Airspace of the Future: Fleet & Network Optimization for Future Aircraft
: Model development: + Characterizing the key performance differences between current and future aircraft models + Evaluating how these differences affect fleet assignment and network planning + Optimizing
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into nanoelectronic devices using advanced cleanroom facilities within the NanoLabNL network. You will perform experiments at low temperatures and high magnetic fields to study how moiré potentials influence correlated
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on the intersection of learning theory, PDEs, and systems & control, likely using RKHSs (or similar function spaces), Koopman operators, and neural networks to study interesting classes of controlled PDEs, develop
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Network, aims to develop an energy-efficient compute-in-memory (CIM) architecture using gain-cell memory for real-time edge learning, addressing power, latency, and memory bandwidth issues with reliable
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we all use in our daily lives. Technology such as the electricity grid, which our faculty is helping to make completely sustainable and future-proof. At the same time, we are developing the chips and