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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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computing advances towards large-scale fault-tolerant devices, robust hardware-independent software abstractions are becoming increasingly important for bridging the gap between quantum algorithms 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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least one day a week on campus. Job description The computational biologist will be expected to: Lead the development of acoustic detection and classification algorithms for marine mammals. Evaluate
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languages, algorithms, and architectures for energy-intensive applications. As one of the E-CoRe doctoral candidates you join a cohort at partner universities across Europe, take part in joint training
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Tenure Track Assistant Professors in Theory and Freestanding Oxide Membranes for Energy Applications
fuel cells, while also paving the way for advancements in the emerging fields of ionotronics and twistronics. The candidate in the theoretical position will advance algorithms and computer simulations
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» Algorithms Technology » Communication technology Technology » Telecommunications technology Researcher Profile First Stage Researcher (R1) Application Deadline 18 Oct 2026 - 21:59 (UTC) Country Denmark Type
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PhD Position in Reversible Programming for Energy Efficient Cyber-Physical Systems (MSCA Doctoral...
energy lower bound of conventional computing. The network trains a cohort of doctoral candidates who will improve and popularise reversible languages, algorithms, and architectures for energy-intensive
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combination of intelligent control and aerial robotics for navigation in uncertain environment. You will be mainly responsible: for implementation of machine-learning algorithms for unmanned aerial vehicles