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Field
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evaluate distribution networks in OpenDSS; investigate feeder- and system-level impacts of DERs (e.g., load flow, hosting capacity, voltage regulation). Develop and refine T&D co-simulation platforms (e.g
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Your job Are you passionate about cancer research? Excited to dive into biological pathways and complex data analyses in an epidemiological setting? Eager to work within an ambitious and
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workflows in complex organizational settings. Qualifications: Applicants must have a PhD in Computer Science or related field. Experience in one or more ML domains, such as deep learning, reinforcement
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of Denmark. The position is part of a larger EU project entitled “FEDORA - Federation of network optimisation services, simulation foresights, and data alchemy for adaptable, agile, secure, and resilient
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Information Modelling (BIM) and digital processes that support sustainable, low-emission urban development. His research integrates complex data solutions to enhance decision-making in construction and smart
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human health. Aligned with Rutgers University–New Brunswick and collaborating university wide, RBHS includes eight schools, a behavioral health network, and five centers and institutes that focus
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next-generation scientific breakthroughs requires an understanding of the world’s complex, interlocking systems. We believe that access to nutritious food and a healthy environment is a fundamental human
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quantum microwave-optical conversion for quantum networks. This post is part of the EPSRC-funded HQSS collaboration between the universities of Durham, Cardiff and St Andrews. Your role will be
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characterization (e.g. NMR), biofilm extracellular polymeric substances, biophysics, glycoconjugates, complex assembly, or lectins, is an advantage. Your profile Applicants should hold a PhD in glycobiology
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human health. Aligned with Rutgers University–New Brunswick and collaborating university wide, RBHS includes eight schools, a behavioral health network, and five centers and institutes that focus