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are looking for a PhD candidate to research new adaptative architectures and foundation models for the integration of healthcare data specifically incorporating patient preferences. This includes challenges
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frequent cloud contamination. This scale mismatch prevents a coherent representation of radiative–thermal processes at the urban scale. This PhD will develop physics-informed deep learning models for data
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for unsolicited services Where to apply Website https://www.academictransfer.com/en/jobs/355664/phd-position-ensuring-high-qual… Requirements Additional Information Website for additional job details
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Ensuring good water quality in cities is vital for a healthy city: in this PhD you will develop monitoring and modelling strategies to help design resilient water cities of the future. Job
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to 6 months, if requested by the candidate. This contract will be converted to a PhD contract upon a positive screening result. If you would like more information about this vacancy or the selection
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integration of energy systems data and models and apply data science methods to make them usable for transparent energy systems analyses. The collected data will be processed and semantically enriched using
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Your Job: As part of an interdisciplinary team, you will develop approaches for the automated and large-scale provision and integration of energy systems data and models and apply data science
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on the following tasks with either with a stronger model-development or application focus: Design knowledge-graph-augmented transformers and retrieval-augmented generation (RAG) pipelines that enable
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Our research team invites applications for a fully-funded PhD position at the intersection of reconfigurable computing, accelerators, and simulation tools. This position aims to investigate
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Please note that only shortlisted candidates will be contacted. Qualifications • A doctoral degree (PhD, DPhil, or equivalent) in Epidemiology, Biostatistics, Mathematical Modelling, Health Economics