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Field
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Earth system modelling position (15-month duration). The post holder is therefore expected to have prior experience in intermediate complexity Earth system modelling and experience integrating key
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biology of structurally complex, virulence-associated glycolipids from the cell envelope of mycobacterial pathogens, such as Mycobacterium tuberculosis. We are seeking talented individuals with demonstrated
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the study of defect propagation essential. However, under real-world loading conditions, fatigue cracks often exhibit complex behaviors, such as deviating from their initial path or propagating at variable
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articulate complex mathematical concepts to an interdisciplinary team of engineers and researchers. Proven experience in developing and debugging deep learning models using PyTorch, JAX, or TensorFlow
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twin platform for crisis resilience in transportation; 2) Simulating complex crisis scenarios such as infrastructure failures, maritime accidents, political conflicts, and natural disasters like coastal
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to contribute to cutting-edge, interdisciplinary research focused on advancing next-generation drug delivery technologies to improve the treatment of complex diseases and enhance patient outcomes. Our team is
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highly sought-after expertise in complex subsurface fluid transport, and collaborate directly with leading industry and federal stakeholders. We provide a rigorous, supportive environment designed
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focuses on developing cutting-edge statistical/machine learning methods for fitting complex network models to partially observed hospital infection data, leveraging patient movement data. This research will
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package used in statistical analysis of economic data and/or implementing decision-models (e.g. R, Stata, WinBUGS/OpenBUGS) Able to design, conduct and deliver complex economic evaluations Excellent written
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to collaborate, accuracy, professionalism, openness. Required Language skills English language proficiency at level B2 – upper-intermediate level (understands more complex texts; communicates fluently and actively