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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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are built and how they perform. We welcome candidates whose research is experimental, theoretical, or computational, and particularly encourage candidates who integrate these approaches. SEMTE (https
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information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/307570/phd-candidate-in-advanced-immune-competent-liver-models Where to apply Website https://www.jobbnorge.no/en/available-jobs/job
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equipment data, build and evaluate predictive models, and translate results into decisions that make sense on the plant floor. Work collaboratively with other project team members and the faculty supervisor
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the project will: 1) determine how SNAP29 is targeted and packaged into post-Golgi vesicles, 2) identify proteins required for coordinating the function of SNAP29 and 3) develop cell based models of CEDNIK
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. We are looking for an ambitious postdoctoral researcher to establish their therapeutic potential in advanced in vivo cancer models. You will determine efficacy, mechanism of action and tumour
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investigating disease mechanisms and the effects of novel therapeutic compounds using human induced pluripotent stem cell (iPSC)-derived neuronal models. The post holder will be responsible for planning and
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patient outcomes. More information about the lab can be found here: https://www.nathlab.org As a successful candidate, you will: Develop AI/ML models to predict patient outcomes, treatment response, disease
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modeling of complex, multi-site datasets. In this role, you will bridge the gap between complex data infrastructure, cutting-edge machine learning, and synthetic data generation—building automated
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Connallon): Meta-analysis and modelling of why additive genetic variance for fitness is so high, and what it means for adaptation and population viability (no prior modelling experience needed). (Lab: https