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-agents for perception and communication. Candidates ideally have a background in computer science, electrical engineering, or related fields, and a strong interest in machine learning, optimization
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Environments (GLORIA ) and the Mountain Invasion Research Network (MIREN ). Project description The biodiversity crisis is in part driven by invasive species, yet many non-natives are only recognized as invasive
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of plant communities in alpine and arctic ecosystems. They will combine their own field observations in the European Alps and the Arctic with a novel microclimatic dataset and a large Europe-wide database
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analytical and problem-solving skills with high scientific curiosity. Ability to work independently and in a collaborative, interdisciplinary environment. Excellent communication skills in English (both
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. Our technological focus is thermal energy systems, sustainable carbon feedstock, and CO2 capture, utilization, and storage. Project background To achieve Switzerland’s net-zero climate target by 2050
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of our staff are post-docs, post-graduates or apprentices. Altogether, PSI employs 2300 people. For the Nanodiffraction Group we are looking for a PhD Student in low-energy electron holography Your tasks
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and flow field interactions Tuning of the CFD models with experimental results Artificial Neural Network training and development Scientific publications in journals and at conferences Supervision
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network of collaborators. Position Details: Institution: ETH Zurich, Department of Management, Technology, and Economics (D-MTEC) Chair: Strategic Management and Innovation (Prof. Dr. Georg von Krogh) Start
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communication and writing skills in English are mandatory. The ideal candidates are self-driven, think critically and are excited to collaborate within our diverse, interdisciplinary team. We offer Training
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expertise will extend to various areas, including quantum Monte Carlo, machine learning, quantum computing, quantum machine learning, and tensor networks. These and other techniques will allow us to confront