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researcher to experimentally investigate condensation processes at surfaces with molecular precision. The work focuses on developing advanced methods for controlling wetting and nucleation, combining cutting
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concerned with optimal transport for inverse problems. Optimal transport for inverse problems One of the central topics of the research projects is the further development of theory and methods
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, the project pioneers new methods for detecting and mitigating online harms. Its results aim to inform public health, policy, and technology design, promoting resilience and empowering individuals to understand
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develop methods for the recombinant production of post-translationally modified structural proteins, investigate their effects on material assembly and properties, and design new, functional materials. In
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functional properties of protein-based materials. In this position, you will develop methods for the recombinant production of post-translationally modified structural proteins, investigate their effects
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advanced methods for controlling wetting and nucleation, combining cutting-edge surface engineering with high-resolution experimental techniques. Potential applications span from energy-efficient heat
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University explores synergies between nonlinear control theory and physics informed machine learning to provide formal guarantees on performance, safety, and robustness of robotic and learning-enabled systems
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-engineering-and-automation/nonlinear-systems-and-control ) at Aalto University explores synergies between nonlinear control theory and physics informed machine learning to provide formal guarantees
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testing and stakeholder engagement. Collaborate closely with the PhD researcher to connect environmental data analysis with computational design innovation. Participate in fieldwork in Norwegian glacier
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to polarization. Leveraging network science, NLP, behavioral sensing, and causal inference, the project pioneers new methods for detecting and mitigating online harms. Its results aim to inform public health