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conceptual DFT (linear response function, Fukui functions) or QTAIM theory (delocalization index), and their validation on a set of compounds known from the literature - interfacing a MLIP (Machine-Learned
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probabilistic machine learning and geospatial sciences. Limited teaching may be arranged, if mutually agreed, in exchange for a contract extension. Qualification Requirements Applicants must hold a PhD degree in
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semiconductor characterization teams within NanoLund. The Saragovi Lab currently includes several master’s students, and research interns, and will expand with additional postdocs and PhD students early 2026
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-oriented solutions, and the advancement of knowledge. The first sub-project; a PhD track, focusses on the characteristics of transformative competencies to be achieved as learning outcomes, and pathways
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completion of) a PhD in Computer Science or Mathematics. An ideal candidate has a research track record at a high international level (reflecting the academic age of the applicant) and experience with
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are passionate about applying machine learning to real-world clinical challenges. The successful candidate will lead the development and validation of predictive models using multimodal data including neuroimaging
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, KY Type of Position Faculty Position Time Status Full-Time Tenure Track Status Tenure Track Required Education PhD, MD/DO, MD/PhD or equivalent degree Required Related Experience Post-doctoral
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Type Staff Job Description Major/Essential Duties of Job: 1. Develop machine learning or physical based models for plant water stress quantification. 2. Develop machine learning models for crop mapping
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are passionate about applying machine learning to real-world clinical challenges. The successful candidate will lead the development and validation of predictive models using multimodal data including neuroimaging
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Requirements Applicants must hold a PhD degree in Machine Learning, Artificial Intelligence, Computer Science, Statistics, or a closely related field. A strong research background and programming experience