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into the COF structure. The D and A units will be electronically distinct but structurally analogous in terms of linker length and geometric alignment, enabling their mutual exchangeability and systematic tuning
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comprehensive structure–electrochemistry relationships in disordered carbon and natural graphite used in electrochemical applications. Both experimental and theoretical skills are considered essential
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with its grounding in cognitive theory. The position suits candidates with a PhD in Human-Computer Interaction or a related field who enjoy making empirical, methodological, and technical contributions
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Robust Automatic Fact Checking (ExplainYourself)’, as well the Pioneer Centre for AI. Who are we looking for? Applicants should hold a PhD degree or equivalent in Computer Science or a related field, and
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to think independently, in human-AI interaction. You will connect the project's technical work with its grounding in cognitive theory. The position suits candidates with a PhD in Human-Computer Interaction
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AI-assisted proof engineering. The position is part of an ARIA-funded collaboration between EPFL and Imperial College London whose goal is to build a formally-verified ML inference engine
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and implementation of biochemical assays informatic and genome mining to identify, characterize, and understand the diverse biosynthetic pathways of bacterial sources protein structure determination
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make a significant input to the scientific direction of the project Preparation and presentation of regular reports on research progress We welcome candidates who bring diverse perspectives, experiences
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. We also take into consideration market benchmarks, if and when appropriate, and internal equity to ensure fair compensation relative to the university’s broader compensation structure. We are committed
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and multiphase atmospheric chemistry. We are looking for a highly motivated candidate with a PhD in physical chemistry, atmospheric chemistry or a related field to conduct cutting-edge experimental