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Field
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cues play a role analogous to conditioned stimuli: they are signals that, once learned, allow the agent to anticipate the consequences of its actions. Scientific Motivation: Learning-based navigation
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studentship. Please apply via the King's Apply website (https://apply.kcl.ac.uk ) to the School of Cancer and Pharmaceutical Science (PhD). DO NOT CLICK ON THE APPLY BUTTON BELOW TO SUBMIT AN APPLICATION Follow
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verification and Large Language Model (LLM) safety, focusing on extending state-of-the-art logic-based automated reasoning tools such as ESBMC (https://github.com/esbmc/esbmc ) to address safety and reliability
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on the intersection of robotics and control theory. Project description: This PhD project aims to develop learning‑based methods that combine expert demonstrations with experiential reinforcement learning to enable
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with reducing and oxidising gas-phase species (e.g. laser-based imaging diagnostics, setup of model reactors, modelling of underlying reactions, multi-scale simulation of reactive fluids, computational
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more than 200 people, of which about 90 are PhD students, and about 40 % of all employees are internationals. In total, it has more than 600 students in its BSc and MSc programs, which are based on AAU's
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to the collaborative nature of the project, regular physical presence is expected Where to apply Website https://www.academictransfer.com/en/jobs/358284/phd-position-just-production-ar… Requirements Specific
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developmental signaling pathways (Notch, Hippo) support tumorigenesis and might reveal novel therapeutic vulnerabilities. Every project incorporates the evaluation of novel pharmacologic agents to shepherd
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market using data available on online recruiting platforms, deploying state-of-the-art approaches in Natural Language Processing, Semantic Web, and Agent-based Modeling. For this purpose, an extensive
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market using data available on online recruiting platforms, deploying state-of-the-art approaches in Natural Language Processing, Semantic Web, and Agent-based Modeling. For this purpose, an extensive