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challenging due to the complexity of the materials and the various environmental factors involved. The ConSOLIDATe (Controlled Study Of Light Induced Degradation by Advancing Technology) project aims to tackle
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by tens of beams instead of the single beam in a traditional electron microscope. The increased throughput of multi-beam EM enables large-scale and volume microscopy and identification of rare events
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synthesis, mu-analysis and model-predictive control Experience in model identification, validation and uncertainty quantification based on experimental results Expert proficiency in the use of MATLAB/Simulink
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, the identification of predictive features, and the construction and validation of statistical or machine-learning-based models. The postdoctoral researcher will be responsible for: Developing a
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of the project. You will collaborate with support staff in the group and within the department, including the Research Support Office (RSO) and financial and legal controllers, to ensure successful execution
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how to engineer their spectral response for multiparameter sensing, guided by fundamental bounds on estimation precision, and implement advanced computational design methods to realize optimal
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funded NWO-AES project “Genetic variance Estimation Now (GEN): Estimating current genetic variance components in populations under selection”. You will work closely together with a PhD candidate and
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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