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branches and weights in the ground-motion logic tree Integrate ground-motion characterisation with seismic-source models in version-controlled PSHA workflows Job Requirements: PhD in Earthquake Engineering
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Mainz on 18+19 January 2027. Starting date: 1 February - 31 July 2027 Where to apply Website https://www.imb.de/phd/apply Requirements Research FieldBiological sciencesEducation LevelMaster Degree
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cancer genetics, cancer risk prediction, diagnostic accuracy studies, calibration/discrimination or multivariable risk modelling Experience integrating genomic data with clinical, epidemiological
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disturbances. Current control methods generally rely on simplified interaction models based on constant aerodynamic coefficients, quasi-static approximations, potential flow models, or experimentally identified
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and numerical models that predict material deformation, force transmission to cells and the resulting changes in cellular mechanics and signalling. The position is primarily computational, but a
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estimation, and performance prediction. Build computationally efficient models suitable for monitoring, performance prediction, optimization, and control, and evaluate their accuracy, robustness, computational
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learning-based model predictive control (MPC) algorithms for multi-agent multirotor drone navigation around vessels in maritime environments. The role will focus on integrating multirotor crash predictions
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geochemical alteration occurs, and the associated uncertainty in predicting reservoir behaviour. This will be done with laboratory investigations and geochemical modelling. Specifically, you will: Characterise
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support the development of safer flood defence systems and more reliable flood risk assessments. Your responsibilities As a PhD researcher, you will: Develop continuum-based two-phase models to predict
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The main objective of the project is to develop novel, interpretable predictive models for response to immunotherapy in patients with advanced melanoma, based on the functional activity of gut fungi