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will be affiliated with the Energy Systems Engineering Group. The position focuses on developing autonomous AI-based optimization and control methods for a multi-vector hybrid microgrid that supports
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guidance to PhD students where appropriate to the discipline Contribute to developing new models, techniques and methods in power grid simulations with HVDC and Wind Farms using PSCAD Undertake management
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metamaterials, and nanophotonic structures using standard micro- and nanofabrication processes. b. Support device preparation, sample processing, and structural characterisation for thermal and photonic
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communication skills (written and oral). Ability to work independently and collaboratively within a team. Commitment to reproducible research (version control, testing, documentation). Experience generating
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geochemistry, and analytical instrumentation (including XRF, X ray imaging, Micro CT, SEM, LA ICP MS, TQ ICP MS, and microprobe), offering extensive opportunities for training, skills development, and
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spectroscopy instrumentation and spectral data analysis. Preferred Experience in microfluidic chip fabrication (soft lithography, PDMS, or micro-machining). Experience with aptamer selection or molecular
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to Applications Materials Neutron Sciences Biotechnology Nuclear Solutions for National Priorities Isotopes Nuclear Fusion Secure, Resilient Systems for Abundant Energy Grid National Security Aligned with the DOE
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, micro-meteorology, Earth system modeling, and/or satellite remote sensing is an advantage. Experience with fieldwork in challenging environments is an advantage. Language requirement: Good oral and
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disease and type 2 diabetes) using a subset of the 20,000 individuals enrolled in the Nurses’ Health Study II Micro-N (Microbiome among Nurses) study. The incumbent will be an integral member of our group
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About the role The successful candidate will conduct work as the primary Research Fellow on the EPSRC funded research project “Exposing the micro mechanics of continuum parameters for clay