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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 philosophy. In
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. The tasks include battery cell characterization and modelling based on laboratory tests, and development of algorithms for estimating the charge level, health, and power capability which includes robustness
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of two years. About the Project The successful candidate will advance the algorithmic and theoretical foundations of reinforcement learning applied to complex, high-dimensional dynamical systems
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sensing technologies (camera, Electromagnetic tracking system, FBG sensing) with continuum robotic systems and development of associated sensing and estimation algorithms 3D environment reconstruction based
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in CSlib’s steering and technical leadership . Whom we are looking for We are looking for candidates who possess (or are nearing completion of) a PhD in Computer Science or Mathematics. An ideal
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quality and societal impact. The Department of Electronic Systems employs more than 200 people, of which about 90 are PhD students, and about 40% of all employees are internationals. In total, it has
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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. With this position, we seek to strengthen
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, sustainability assessments, etc. Research areas include: Advance data science, predictive modelling, and intelligent systems for the Agro-Food domain. Adopt theoretical research results (algorithmic developments
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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. With
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research results (algorithmic developments, data mining techniques, etc.) to feasible deployment • Integrate the developed techniques with modern ICT/IoT and other digitalization systems • Cooperation