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risk & safety, and navigation & positioning. We welcome applications from outstanding candidates working in established areas of transport such as: engineering, operations, modelling, design, flow
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primary cultured hepatocytes. These in vitro data will be subsequently used to inform mechanistic physiologically-based pharmacokinetic and pharmacodynamic (PBPK-PD) models, enabling bottom-up predictions
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the collection of empirical data through field trials and the development of prediction models based on these data. Together with the PI, the candidate is to lead the planning and execution of the project
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for modelling and analyzing information systems in their application contexts. Systematic techniques for representing and analyzing process and data, use cases and scenarios, stakeholder goals and relationships
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for modelling and analyzing information systems in their application contexts. Systematic techniques for representing and analyzing process and data, use cases and scenarios, stakeholder goals and relationships
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, altering landslide hazard heterogeneously. This position is ideal for candidates interested in urban processes and in developing an urban risk model and exploring socio-environmental feedbacks in landside
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chordoma mouse models to develop rationale for new clinical trials Research resource management: Oversee our repositories of models, biospecimens, and data, and manage associated vendors Distribute models
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the lens of information processing by signal receivers. This PhD project will test fundamental predictions for the role of processing biases in shaping organism visual signal evolution and human aesthetic
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in a changing climate. The position is supported by extensive research infrastructure, including long-term field trials, national datasets, laboratories, and advanced models. As a member of IGN’s