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and high-speed electronics circuit design and test. Experience in quantum information processing and quantum communication algorithms, as well as fiber optics instrumentation are a strong plus. Profile
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) or neural network-based methods. The level of the targeted problems will require further mathematical and algorithmic developments over the current state of data-driven SSM reduction. The PhD position will
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using learning-based algorithms Development of a simulation framework for stressor analysis and traffic equilibrium modeling Integration of predictive analytics and multi-agent reinforcement learning
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develop and apply computational approaches to identify policy strategies that are politically feasible and compatible with changing land-use demands, while also considering the distributional impacts
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sharing, and biodiversity policy implementation Investigating how decentralized or distributed data infrastructures can enable more equitable, transparent, and resilient biodiversity governance Engaging
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. Sabine Rumpf), and the Flore-Alpe Alpine Botanical Garden (Prof. Christophe Randin). Climate change is shifting the spatial distribution of suitable habitat for all species, but the vast majority
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maintenance requests, managing mail distribution, and controlling access to shared rooms, including key management. Your responsibilities will also include serving as a central point of contact
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predict environmental distributions of health-impacting trace elements to prevent health hazards, today and in the future. The position is offered in the framework of a recently funded SNSF project with
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algorithms and AI-based solutions for data processing and validation, and provides scientific expertise for the implementation of future remote sensing missions. The team’s work bridges earth observation with
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the bovine genome. We have collected large amounts of long read sequencing data (PacBio HiFi) to build genome assemblies and integrate them into pangenomes . This allowed us to investigate the distribution