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Control - Resilient autonomy for Self-Healing Soft Robotic Platforms - Uncertainty-Aware and Predictive Human-Robot Interaction Qualifications To be qualified for the position, you must have a MSc degree in
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these results to structural chemistry and interfacial evolution in order to build a fundamental mechanistic understanding. The doctoral student will work with controlled synthesis and compositional tuning of NFPP
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areas providing a template for relevant directions: - Embodied Intelligence for Soft Robotic Systems - Foundational Models for Adaptive Soft Robots - Real-Time Adaptive and Stiffness-Aware Control
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combined research areas. Previous experience in one or preferably more topics from these areas is considered a merit. - 5G reconfigurable Connectivity - 5G/6G QoS - Control of Communication networks
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registry data is a plus). Familiarity with biomedical ontologies, controlled vocabularies, or coding systems such as SNOMED CT (Systematized Nomenclature of Medicine Clinical Terms), NPU (Nomenclature
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of this carbon from streams and lakes. The project will include comparative studies of the magnitude and control of land-water carbon fluxes across various vegetation, permafrost and climate conditions in
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to efficiently transform biochar into battery-grade hard carbons with controlled characteristics and optimized electrochemical performance. The use of microwave plasma carbonisation will allow
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on the lateral export of carbon from and the subsequent turnover and fate of this carbon from streams and lakes. The project will include comparative studies of the magnitude and control of land-water carbon
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, statistics, machine learning, control, computer science, or a related area that is considered relevant for the research topic of the project, or have completed courses with a minimum of 240 credits, at least
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balances. Solutions are sought that will mitigate climate change, preserve threatened species, benefit biological diversity and ecosystem services, and control pests in forest and agricultural landscapes as