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analyzing AI models. However, rigorous methods for evaluating XAI algorithms are currently lacking. This is in large part due to a gap between how explainability is evaluated within computer science and
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towards large-scale fault-tolerant devices, robust hardware-independent software abstractions are becoming increasingly important for bridging the gap between quantum algorithms and physical
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towards large-scale fault-tolerant devices, robust hardware-independent software abstractions are becoming increasingly important for bridging the gap between quantum algorithms and physical
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understanding of reinforcement learning foundations, with the ability to perform convergence and finite-sample analysis of complex, non-linear continuous control algorithms. Implementation Expertise
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uncertainty-aware parsimonious world models (e.g., via evidential learning) and prove finite-sample or regret guarantees under non-stationary latent state spaces, validating these algorithms by
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). Implementation of control algorithms and robotics for controlling hexapod-like loading systems. Excellent English proficiency and intermediate Danish proficiency (some teaching tasks are at the BSc
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instrumentation and experiments with modelling of these experiments. As part of this, we have developed new algorithms and a completely new web-based platform – EasyNMR - for performing such modelling/simulations
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Algorithms for Spatiotemporal Optimization of Thermal Networks” ? T hen the Department of Civil and Architectural Engineering invites you to apply for a 2-year position. Expected start date and
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multibody dynamic simulation software using modern approaches (e.g., Kane’s method). Implementation of control algorithms and robotics for controlling hexapod-like loading systems. Excellent English
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simulations to materials synthesis and nanostructuring, all guided by advanced AI algorithms to optimize and understand the optical properties of light-trapping surfaces. (more information can be found in