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fundamental and demand-driven research on modelling and analysis of complex social networks. This line of research is broadly focused on modelling, analysis and estimation of complex network models in
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independently and work in a collaborative, cross-disciplinary team. Desirable Expertise in user modelling, recommender systems, or other personalised technologies. Publications in top-tier conferences, such as
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-assisted reservoir characterization/modelling for CO2 storage Apply for this job See advertisement About the position Position as PhD Research Fellow in ML-assisted reservoir characterization/modelling
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our newly formed group as a postdoctoral scholar. The position focuses on microbial ecology, ecosystem modeling, and ocean-estuarine dynamics. This project is part of a bigger collaboration with other
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iterative improvement of both a large data set model, and the techniques to generate informative report-based outputs. About the Role Your role will contribute to the data capture, recording and iterative
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these data with multi-omics datasets to identify regulatory or metabolic bottlenecks. It involves statistical analysis and systems modelling, and close collaboration with strain engineering and bioprocess
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. Creating a world where we all have more time with the people we love. That’s what makes us Genentech. Genentech’s Clinical Pharmacology Modeling & Simulation group seeks a postdoctoral fellow (or artificial
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Familiarity with Earth System Models in general, and NorESM in particular Strong track record of relevant peer reviewed publications All candidates and projects will have to undergo a check versus national
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Documented experience in at least one of the following areas: molecular cloning and mutagenesis in non-model bacterial species (ideally in a BSL-2 environment), mass spectrometry (ideally in combination with
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statistical models and analyse disparate datasets excellent communication skills with the ability to present findings clearly to diverse audiences strong collaborator experienced working with interdisciplinary