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technology management, or smart grids. Experience in development of mathematical meta-models, control strategies, optimization methods and algorithms, data analysis and machine learning techniques, techno
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are provided in Arts and Humanities, Built Environment, Brain Sciences, Engineering Sciences, Education, Laws, Life Sciences, Mathematical & Physical Sciences, Medical Sciences, Population Health Sciences and
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: The two fellows will contribute to the analysis of Lyman-a emitter candidates identified within the PLATES project through two complementary work plans: • Fellowship 1 – Assess the reliability
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spatial analysis of heavy metal accumulation. Alongside shaping this research, you will actively share your discoveries through scientific publications and international presentations. Furthermore, you will
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site history and community demographics, and coordinate with ATSDR's Geospatial Research, Analysis, and Services Program (GRASP) to develop site-specific maps that identify populations potentially
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of amyotrophic lateral sclerosis (ALS) by advancing research on disease occurrence and potential risk factors. You will participate in efforts to improve the collection, integration, and analysis of national
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, Analysis, and Services Program (GRASP) scientists. Learning Objectives: When training with the SSS, under the guidance of a mentor, you will further your understanding of micro- and nanoplastics (MNPs) and
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Skills participants and analysis of the Kingston Graduate Attributes Index - Analyse alumni survey, employer and engagement datasets to assess long-term skills use, career advancement and graduate-level
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of intelligent tools for treatment planning automation, image and data analysis, and adaptive radiation therapy workflows. Your work will have broad impact across both photon and proton therapy, with
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Biologist in the Gillani Lab in Computational Pediatric Cancer Research (https://gillanilab.dana-farber.org/). The Postdoctoral Computational Biologist will work on the analysis of genomic, transcriptomic