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to have experience in one or more of the following areas: Machine Learning & Bayesian optimization (Python, Supervised learning, Multi-objective optimization) Additive manufacturing of metals Corrosion
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health. You will develop and apply cutting-edge machine-learning techniques to identify the most informative indicators of ecosystem change and use them to build dynamic Bayesian network (DBN) ecosystem
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and regulatory context. Objectives Develop an agent-based modelling and stakeholder analysis toolkit to capture the perspectives, needs, and regulatory constraints of main stakeholders. Design modular
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research and soft robotics development. PhD project The PhD project will focus on the technical aspects of simulating the physics of the Drosophila larva body. The primary objectives include: Developing a
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risk development. These projections will enable the identification of sustainable adaptation strategies and support policy development. Objectives Develop an Agent Based Model (ABM) that describes flood