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application of dynamic mathematical modelling approaches to simulate the spread of infectious agents in human populations. The Unit coordinates the Interdisciplinary Center of Mathematical Modelling
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(Lua/Java), agent behavior modeling, event handling, and API-based integration with external AI systems. Experience with distributed systems, reinforcement learning, or simulation environments (e.g
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to correct or account for these biases, and build predictive models that simulate biological responses to in silico perturbations such as genetic or pharmacological interventions. The project aims to advance
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) Online: https://www.uaa.alaska.edu/students/safety . Request a paper copy in person: UAA Police Department Office at Room 114 of Eugene Short Hall on the Anchorage campus / UAA Dean of Students Office at
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, the CSATLab , our SW Simulators , and our Facilities . For further information, you may refer to https://www.uni.lu/snt-en/research-groups/sigcom/ . Your role Develop innovative methods and data-driven AI tools
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human patients, canine patients, and mouse and organoid models -- offering a unique opportunity to identify conserved genomic features and accelerate biological insight. Duties include*: Collect, manage
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arrays) from experimental data, leveraging training on simulated datasets. Interpretable neural networks for physics: Development of interpretable deep learning models for identification of matter phases
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CDT in Developing National Capability for Materials 4.0, with the Henry Royce Institute. ‘Agent-based’ modelling (ABM) simulates large numbers of autonomous yet interacting entities and in Sheffield has
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theory, AMO–condensed matter interfaces, advanced numerical simulations, quantum sensing, hybrid quantum systems Dr. Ceren B. Dag invites applications for a postdoctoral fellow to support theoretically
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the use of large language models to support neural network design and data preprocessing. The position involves close collaboration with experts in cardiovascular simulation and Scientific Machine Learning