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graph using RDF, OWL, and related technologies Designing and implementing workflows for data ingestion, integration, and querying across multiple systems Driving use-case studies that demonstrate
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Graduiertenzentrum Gesellschaftswissenschaften (KIGG) The Inter-University Doctoral Programme in Economics (MAGKS) Circular economy of urban carbon flows through innovative bio-waste recovery pathways (CirCles
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the development of both, the quantum internet and distributed quantum computing. The objectives of this PhD thesis project are: (a) Demonstrate spin-photon entanglement with single colour centres in silicon carbide
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. Formulates and maintains bibliographies and completes applications and forms. Orders laboratory supplies and maintains culture media reagents. Reviews and edits various materials for publication and prepares
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materials systems at the molecular level with machine learning. The PhD Student will undertake a study analysing mass spectral imaging data streams in real time using machine learning workflows. A pathway for
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materials systems at the molecular level with machine learning. The PhD Student will work with tumour sections to develop multiple instance learning and weak supervision / spatial transcriptomics models
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and waste heat sources will need to integrate multiple supply options with varying temperature levels. To support effective planning, energy professionals at the district and city level must be able
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undermine this future. Can you see how Machine Learning, Computer Vision, and Robotics can open up opportunities for autonomously operating agricultural robots? Are you passionate about making agriculture
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optimization. Experience with energy system modeling - ideally of large scale multiple country energy systems, PtX and renewable fuel production. Strong writing and presentation skills. A willingness and desire
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Synchrotron and the Super Photon Ring (SPring-8) Synchrotron in Japan, where our students also regularly conduct their own experiments. Project areas include: Colour (spectroscopic) X-ray imaging in multiple