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build the sustainable companies and societies of the future. Pervasive and Mobile Computing (PMC) research subject addresses fundamental challenges in distributed systems and mobile networks, enabling
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build the sustainable companies and societies of the future. Pervasive and Mobile Computing (PMC) research subject addresses fundamental challenges in distributed systems and mobile networks, enabling
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professional networking opportunities A structured PhD program with a comprehensive range of continuing education and networking opportunities - more information about the PhD program at the HZDR can be found
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Multiple PhD Scholarships available - Cutting-edge research at the frontiers of Whole Cell Modelling
movements across the cell envelope, to help inform mathematical models that integrate all of the envelope’s function. Uncovering RNA-RNA Networks in the Regulation of Bacterial Surface Proteins: Bacterial
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, communication, networking, presentations, writing of manuscripts etc. Mentoring and career development in a network of national and international collaborators Research exchange to collaborating institutions
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. Our approach enhances T2 (Interconnected QC systems) through verification methods for connected networks, supports T1 (Integrated quantum demonstrators) via hardware-agnostic metrics, and enables T3
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to reach carbon net zero by 2050. Between 40 to 50% of the carbon footprint of a litre of milk is attributed to CH4 production in the rumen (Huhtanen et al., 2022) which also has a negative impact on animal
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modelling software. Practical experience in advanced manufacturing techniques for novel materials. Opportunities to present research at international conferences and build a professional network across
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transport networks to other energy sources and expanding new infrastructure. Planners and policymakers face several challenges, including long construction and retrofitting lead times, which can be several
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-informed data analytics tools for the predictive maintenance (PdM) strategy applications to high-value critical assets. Among others, the recently developed Physics-informed Neural Network (PINN) technique