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Field
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project will use advanced spectroscopic techniques to explore how iron is mobilized, reduced, and translocated within the complex matrix of wood and in connection to fungal activity. A number of techniques
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which circumstances by analyzing complex behavioral data? Do you want to contribute to the development of innovative, adaptive solutions that support healthier lifestyles? And does working in
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deployment, monitoring, and optimization of complex scientific data streaming workflows for current and future production infrastructures. The project will involve close collaboration with a team of systems
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researchers with an interest in any of the following fields: quantum gravity, field theory, machine learning, statistical physics, random matrix theory, or complex networks. The job description may be changed
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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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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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Area of specialization: Critical Zone is the “heterogeneous, near-surface environment in which complex interactions involving rock, soil, water, air, and living organisms regulate the natural
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reaction engineering. Proficiency in Aspen Plus or similar process simulation tools. Experience with techno-economic assessments (TEA) of complex chemical or biological systems. Familiarity with CO2 capture
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on the main East Coast train line connecting to London and Edinburgh and also within convenient reach of Newcastle Airport. The School has an extensive network of leading international partner institutions and
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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