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. Documented research experience in modern deep learning (e.g. generative models, Bayesian deep learning or large pre-trained models) and excellent programming skills in Python and a modern deep learning
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, Bayesian inference, model calibration, and Markov Chain Monte Carlo methods, uncertainty quantification, statistical modelling, and Gaussian processes, machine learning for time series, sequence-to-sequence
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, mixed-effects modeling, Bayesian methods, deep learning, variational autoencoders, generative AI). Is an experienced programmer in R and/or Python, and used to working with large datasets and reproducible
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developing Södertörn University’s multidisciplinary research and doctoral (third-cycle) education with a focus on the Baltic Sea region and Eastern Europe. CBEES’ objective is to increase the national and
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simulations, density functional theory (DFT), molecular simulations, or machine-learning potentials. Experience with generative AI, active learning, uncertainty quantification, Bayesian optimization
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on the regulation of protein translation and stop codon readthrough (SCR). The primary objective is to identify/isolate trans-regulators that control SCR in a temporal and spatial manner. This will be done by
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industry and includes practical process work, sample handling, analysis and interpretation of results in relation to the project objectives. Detailed description of the work duties, such as: plan, conduct
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medicine and diagnostics, epidemiology and biology of infection. For more information, please see https://www.scilifelab.se/data-driven/ddls-research-school/ The future of life science is data-driven. Will
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combining high lithium-ion conductivity with improved chemical and electrochemical stability. A central objective will be to establish relationships between composition, structure, ionic transport properties
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format. The application should be registered via Umeå University’s e-recruitment system Varbi (https://umustipendie.varbi.com/en/what:job/jobID:950146/ ) and submitted by the deadline 17th of September