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loads — EV fleets, residential batteries, smart heat pumps, and data-center clusters — across distribution and transmission networks is critical to unlocking deep decarbonization and maintaining grid
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customization of Large Language Models for educational purposes. The ideal candidate must have a strong professional network and documented collaboration capabilities, alongside a proven track record in
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research and have excellent networking and communication skills in English. Furthermore, selected candidates will be expected to: Conduct excellent research and develop the field in one or more of the above
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fish‑community dynamics and environmental conditions at offshore sites. The successful candidate will join the Observation Technology research group at DTU Aqua and work in a collaborative project with
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, you will be investigating if the current metrics for accessing code quality are valid, and then you will be improving them using programming language techniques. Your goal will be to measure the effect
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experience with statistical tools (e.g. in R, MatLab, or Python) are expected. The team at DTU Aqua is highly international and knowing the Danish language is not needed. You must be available for boat-based