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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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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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are looking for candidates to have the following skills and experience: Essential criteria PhD in structural biology, biophysics, biochemistry, or related discipline Experience in Biological NMR and Structural
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an exceptional opportunity to build an independent research profile at the forefront of translational immunology, collaborating closely with Professor Peter Irving, gastroenterology specialist at Guy's and St
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critical to our understanding of TC structure and intensity. The primary role of the incumbent will be to document, assess and quantify the impact of emerging technology data sets (e.g. drones/UAS, high
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presenting the results of the project. Additional Information: Required Education and Experience: PhD in natural product chemistry or related fields, and experience in data management Desired Experience: Has
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include some management, mentoring (PhD, MSc and BSc) and teaching-related tasks. At Radboud University, I have the opportunity to concentrate on important topics like diversity and inclusion. Inti Brazil