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for environmental remediation based on polymers derived from renewable resources and nanostructured materials produced through sustainable processes; chemical–physical, morphological, structural, thermal, and
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doctoral degree Collect, structure and assess relevant sensor, operational, maintenance, incident and cost data Develop and validate statistical, causal and/or machine-learning methods and turn the results
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46 Salary Range $53,061-87,526/year Type of Position Staff Position Time Status Full-Time Required Education MSW Click here for more information about equivalencies: https://hr.uky.edu/employment
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the technical architecture, codebase, data pipelines, and deployment configuration, and provide a structured technical handover to support future development We welcome candidates who bring diverse perspectives
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in grasslands (NutNet) and along landscape gradients in forests (Veluwe), as well as in response to landscape-scale manipulation of forest structural heterogeneity along a nitrogen deposition gradient
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instructional activities. Teach fundamental Python concepts, including variables, data types, control structures, functions, collections, file handling, error handling, and object-oriented programming. Introduce
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This is an exciting opportunity to combine advanced specialist training with diagnostic and clinical activities, teaching, and research. You will follow a structured training programme of
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. For example, in the anomaly detection setting, we often assume that only healthy images are available during training. Using this, we wish to learn the appearance and structure of healthy anatomy and detect any
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. Our research integrates genetic, molecular, cellular biology and structural biophysics to inform both basic biology and future therapeutic applications. For more information, visit https
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equivalencies: https://hr.uky.edu/employment/working-uk/equivalencies Required Related Experience No experience required. Required License/Registration/Certification None Physical Requirements Lifting, pushing