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of metabolic and cellular properties Phylogenomic analyses of obtained MAGs, including extraction and evaluation of marker genes, performing ML and Bayesian analyses of (concatenated) marker gene sets using
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/Qualifications - Automation or applied mathematics background, with a strong interest in physical models and numerical method - Analysis of partial differential equations, variational approach, Bayesian estimation
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expertise to strengthen CTN+ research: · Dr. Shirin Golchi (McGill University) – A biostatistician specializing in adaptive clinical trial design and Bayesian modeling, with experience across multiple
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, multidisciplinary, and international body of participants including hundreds of students, faculty, and practitioners. More information about the General Sessions is available here: https://myumi.ch/EkJbp As a perk of
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simulators (https://doi.org/10.5194/egusphere-2025-2392). We have recently demonstrated its use in a Bayesian framework for evaluating South American methane emissions. In this role, you will continue the
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models, artificial intelligence, Bayesian models, data visualization, dynamic causal models, dynamic systems models, item response theory, large language models, machine learning, mixture models
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of autonomous flow reactors for chemical synthesis. The project aims at 1/ developing a new optimization Bayesian algorithm and 2/ improving the process-control software already developed in the team
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equations, Bayesian inference, large-scale computational methods, bioinformatics, data science, machine learning, optimisation, numerical methods. Please read more about the position and our department on our
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cells Key methods will include: Gaussian Processes (heteroscedastic & multivariate) Operator-valued and deep kernels Active Bayesian experimental design Physics-informed neural networks Closed-loop
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, Ultrasound and Vibration, Aircraft Structures, Damage Assessment, Structural Health Monitoring, Structural Health Prognosis, Bayesian Statistics, Machine Learning Informal enquiries prior to making