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Bayesian machine learning and computational biology. Your network and team Dr Martinelli is an independent Research Fellow supported by an Academy Research Fellowship of the Research Council of Finland
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), and ELLIS Institute Finland. You will be supervised by Dr Julien Martinelli and Associate Professor Harri Lähdesmäki. The position offers a broad local research network in Bayesian machine learning and
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must be inferred from models that are incomplete and data that involve errors. For such challenges, Bayesian analysis using Markov Chain Monte Carlo (MCMC) has become the gold standard. For addressing
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Is the Job related to staff position within a Research Infrastructure? No Offer Description «Advanced bayesian methods in correlated data settings. (PID2025-172789NB-I00), CPI-26-561» Group: A
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benefits such as comprehensive health cover, holiday entitlement, subsidised meals, transport discounts and optional French language courses. Where to apply Website https://emploi.cnrs.fr/Offres/CDD
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resolved air-pollutant emissions and exposures from observational data. -Work may include statistical or Bayesian inverse modeling, data assimilation, optimization, uncertainty quantification, numerical
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Associate Professor Harri Lähdesmäki. The position offers a broad local research network in Bayesian machine learning and computational biology. Your network and team Dr Martinelli is an independent
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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
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Bayesian Index Tracking: optimisation by sampling School of Mathematical and Physical Sciences PhD Research Project Self Funded Dr Kostas Triantafyllopoulos , Dr Dimitrios Roxanas Application
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Bayesian modelling framework to new products and dynamic storage conditions and integrating it into the MICROORC decision-support architecture; and (ii) development of data infrastructure and models