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reuse of energy systems analysis processes. In line with FAIR and Linked Open Data principles, you will design interfaces that enable the smooth processing of big data in the context of scientific, AI
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to increase data and software interoperability, enabling the automated reuse of energy systems analysis processes. In line with FAIR and Linked Open Data principles, you will design interfaces that enable
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flow visualisation and measurement techniques to study droplet impact under icing conditions to improve icing codes that aid in design and development of ice detection and mitigation system
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the absolute forefront of observing and modeling two of Greenland’s largest glaciers -- Jakobshavn Isbræ and the Northeast Greenland Ice stream (NEGIS). You will use GNSS data on ice surface and bedrock
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for four years. The project involves multiple partners: • OTFT characterizations : L2n-URCA Reims (O. Simonetti) • Polymer synthesis: ICPEES Strasbourg (N. Leclerc) • Material deposition: ICS Strasbourg (M
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journals or research conferences. Expertise in one or more of the above areas of interest. Experience with neuromorphic computing, IC design, embedded systems, or AI. Experience with research on Neuromorphic
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headed by prof. Bram Nauta. The group's motto is “fundamental solutions for practical problems” and under this vision, it has contributed many fundamental new ideas in IC design. The ICD group has made
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or Microwaves; For a perfect fit, you have affinity with device physics or IC design or microwave theory/measurements; Technically, you are among the smartest of your generation; You are keen to work with one
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scenarios and strategies for its successful implementation. Using existing ICE-2 energy system models, you will address questions such as: How do installation and retrofitting times impact the restructuring
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. Cryo-EM has become a very powerful method to visualize ice-embedded samples including purified proteins at close to atomic resolution. Typically, single-particle cryo-EM as well as cryo-ET are based