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Science Foundation's Programmable Cloud Laboratories (PCL) Test Bed program to establish ELECTRA, a remotely accessible, AI-enabled automated laboratory for electron diffraction (MicroED) and structural
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architectures), determination of optimal embeddings and encodings for protein structures, multiple alignment methods, Bayesian dendrogram reconstructions, and benchmarking including jackknife resampling. Position
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of computational systems biology and mathematics/statistics with a strong attitude to open research software development. For more information visit http://www.fz-juelich.de/ibg/ibg-1/modsim or http://github.com
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Leaders program, nominees must have been working and residing outside Canada when the Eddie Goldenberg Research Chairs of Canada award (https://www.canada.ca/en/impact-pluschairs.html) is formally accepted
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materials to improve catalytic performance in water oxidation reactions). To achieve this goal, we will leverage BCAM’s enhanced Bayesian sampling techniques, generalized hybrid Monte Carlo (MC) schemes, and
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in advanced quantitative and statistical methods, which can include psychometrics and measurement, latent-variable and structural equation modeling, longitudinal and intensive longitudinal methods
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research programme in fundamental AI, AI co-scientists, and applications in complex scientific domains such as RNA sequence-function modelling, structure prediction, and inverse design. Further information
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statistical analysis including multivariate methods, data reduction techniques, structural equation modeling, survival analysis and Bayesian hierarchical imaging models, graph neural networks. The specialist
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European Molecular Biology Laboratory (EMBL) | Brandenburg an der Havel, Brandenburg | Germany | about 2 months ago
to ecosystems. EMBL has already established itself as a global leader in AI-driven innovation in biology research, with successes in areas including genomics, structural biology (e.g., AlphaFold), biomarker
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the same systematics identified in the observables. d) Estimation of cosmological and “nuisance” parameters using Bayesian methods. 4. The research activities provided for the post-doc assignment will