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novel method for autonomous design of 3D shapes fitting to the user body and optimizing the design to the desired assistance. Apart from actively shaping our group's research, the positions include
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Mission. Help optimize the balance between scientific return, technology readiness, and mission feasibility while coordinating with the project manager to align schedule and cost. Lead system-level trade
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datasets and sophisticated modelling techniques to evaluate and optimize energy systems. We have developed in-house tools and utilize open-source datasets to support our research activities in various
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: Manage system requirements, specifications, and interface control documents. Develop concepts for mission architecture, such as launch, spacecraft/payload design, and ground segment. Optimize the balance
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, precision livestock farming, and multi-omics approaches toward sustainable dairy farming, leveraging advanced statistical modeling, machine learning, and AI to uncover biological insights and optimize
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100%, Zurich, fixed-term We are seeking a skilled Machine Learning Engineer to join our dynamic team. The ideal candidate will be involved in the development, optimization, and maintenance of our
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the Multiphase Fluid Dyamics group (Prof. Supponen) has a focus on modelling and high-speed imaging to optimize bubble generation and control, and the resulting particle dynamics and interaction with cells using
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. The optimal exploitation of digital tools in system development processes facilitates an effective and efficient process. To effectively capitalise on the existing knowledge base, digital tools, e.g., large
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hands-on learning experiences or with computational elements relevant to Artificial Intelligence or Optimization, in addition to running your research group. Since this is a leadership position, your
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-armed Bandits, Bayesian Optimization. Automated Model Design and Tuning: Neural Architecture Search, Hyperparameter Optimization. Computer Networking: Resource-Constrained Networking (e.g., Internet