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Models to push the frontier where computer vision, physics simulation, and embodied AI converge. Join Us! This position is part of a collaborative research programme between the University of Amsterdam
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; solid familiarity with queer theory and queer of colour critique; previous knowledge of the topic and experience of archival research and cultural analysis; an excellent command of English (additional
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this position, you will advance an innovative drug discovery workflow to enable the identification of membrane receptor ligands. This project is a collaboration between the Pomplun lab and the Heitman labs and
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to demonstrate at conceptual level some of the features proposed where needed; provide a cost estimate of the various options meeting each requirement. You will also have the opportunity to study the GS&O
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these questions will involve close collaboration with international experts and the use of rich administrative data for the Netherlands. The project places a strong emphasis on causal identification, applying state
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particular, this allows for fully flexible local mesh refinement in the space-time cylinder. You will develop suitable aposteriori computable estimators for the discretization error to adaptively steer
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responses are converted into biochemical signals. This research might include the identification and characterization of signaling proteins, investigating the effects of genetically modifying these proteins
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The research goal of PCF is to understand and to control liquids and their interfaces from molecular to macroscopic scales. Our research connects fundamental phenomena in static and dynamic wetting, nanofluidics
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or computer vision); A strong scientific track record, documented by publications at first-tier conferences and journals (e.g., NeurIPS, ACL, ICLR, EMNLP, NAACL or COLM); Have excellent programming skills; Have
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management or organization studies journals excellent command of English; proficiency in Dutch is an asset given the fieldwork context a collaborative mindset and the ability to work across disciplinary and