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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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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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and manage their own research and administration, with guidance if required, and to assist in the preparation of proposals and applications to external bodies. You must be able to communicate material
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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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out the transition to becoming an independent researcher. The postdoctoral fellow will refer to Center Director, Professor Tine Jess, and will work closely with the Center's interdisciplinary group
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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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& ecosystem structure under rising biosphere novelty. The work will integrate ecological, demographic, environmental and remote-sensing information to develop scenario-based forecasts of European vegetation and
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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