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CBS - Postdoctoral Position, Artificial Intelligence Applied to Metabolomics for Health Applications
datasets. Developing explainable AI (XAI) models to facilitate clinical decision support systems (CDSS) and enhance trustworthiness in healthcare settings. Addressing longitudinal and time-series data
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for comprehensive systems biology modeling. Identification of causal relationships and biomarker discovery through integrative approaches. Time-series and longitudinal multi-omics data analysis for disease
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will deploy moored sensors (e.g. acoustic Doppler current profilers - ADCPs) in a series of submarine canyons in the Gulf of Mexico and along the US East Coast. Time-lapse bathymetric surveys and
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2007. At all of these sites, most ecosystem carbon fluxes of the canopy, stems, soil and roots have been regularly monitored, generating detailed carbon cycle time series for ~5 years from
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transport modeling and machine protection strategies for the EIC accelerator complex. This position will focus on Monte Carlo simulations to characterize the radiation environment resulting from beam losses
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Postdoctoral Research Associate in Cell Division ( Job Number: 25000808) Department of Biosciences Grade 7: - £38,249 - £45,413 per annum Fixed Term - Full Time Contract Duration: 3 Years Contracted
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unravel the complex relationships between land use changes and fire regimes over the past 60 years. The successful candidate will lead efforts to: Develop advanced deep learning algorithms for classifying
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complex terrain regions. CMAS does this by innovating on the fronts of meteorological data acquisition, analysis, and interpretation (https://www.bnl.gov/cmas/). The CMAS work portfolio is conducted within
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Postdoctoral Research Associate in Plant Molecular Biology ( Job Number: 25000664) Department of Biosciences Grade 7: - £38,249 - £45,413 per annum Fixed Term - Full Time Contract Duration: 3 Years
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point cloud data processing, deep learning for time series data prediction, digital twin, geospatial mapping with vehicle and UAV mounted remote sensing systems or robotic systems, crowd simulation