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landscapes. The research will cover the following tasks: Critical review of current compliance levels in ESA projects: data analysis of the outcomes of project reviews conducted since the introduction
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/publication record Ability to conduct research autonomously Breadth of exposure coming from past and/or current research/activities Ability to gather and share relevant information General interest in space and
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to conduct research autonomously General interest in space and space research Ability to gather and share relevant information Behavioural competencies Education You must have completed and obtained your PhD
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science, with research experience and peer-reviewed publications on topics of relevance to the proposed fields of research. Your PhD subject should relate to the use of SAR data for forest applications
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by candidates within five years of receiving their PhD. In particular for this position, the following is required: PhD in data science, AI, computer science, machine learning, aerospace engineering
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of neural networks, information-theoretic and optimal-transport perspectives on representation and generalisation, probabilistic numerics and Bayesian deep learning, and emerging frameworks for scientific
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be involved in the scientific activities of the Science Section within at least one of the following thematic priorities (please indicate your preferred theme in your proposal). Data-driven and AI
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primitives, such as templates for movement, growth, load-bearing or sensing, that can be integrated into ACT simulation and optimisation frameworks; interface with experimental and literature data from biology
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topics such as Hamilton-Jacobi Bellman equations, stochastic optimisation frameworks, game-theoretical analysis of space logistics, high order automated differentiation, neural and Hamiltonian ODEs, data
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biomimetics projects of the ACT, revisiting earlier ideas with new tools, data and perspectives. As an ACT researcher, you will: publish results in high-impact, peer-reviewed journals and conferences, and use