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Field
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discipline relevant to our research fields (e. g. physics, computer science, electrical/electronic engineering, chemistry etc.). The knowledge of Python, C or other programming languages in use for accelerator
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(e.g. python, R); affinity and experience with performing animal experiments; experience with classical biological methods (e.g. dissections, immunohistochemistry, western blot, PCR, in vitro assays
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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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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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consumers. You'll gain deep interdisciplinary experience—combining multiple data layers and approaches including bioinformatics, machine learning, food safety management, regulatory science, genomics and user
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scale multiple country energy systems, PtX and renewable fuel production. Strong writing and presentation skills. A willingness and desire to engage in interdisciplinary collaboration and teaching. Good
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expertise and supervision of experienced researchers from multiple institutes at Forschungszentrum Jülich. As one of Europe’s largest and most multidisciplinary research centers, Forschungszentrum Jülich
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realistic impairments in terms of hardware, propagation environment, and sensing imperfections. AirComp is a novel technique that harnesses the interference in wireless multiple access channels
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effects, compound hazards, and systemic interdependencies, adapting to evolving EU design codes. More specific goals are to: re-view existing hazard methods and codes for single and multiple hazards (e.g
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carried out and data is generated? Then keep reading. The Natural Products Genome Mining Section at DTU Biosustain studies multiple aspects of Actinomycete bacteria, for example their genomics, molecular