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Field
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factors, and data provenance. o Develop data pipelines integrating BIM/IFC, schedules (4D), IoT/telemetry, procurement/ERP, and emissions factor databases. • Analytics and optimization o Apply data
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and post-processing software. Able to work independently with strong data analytical skills, communication and interpersonal skills. Key Competencies: Proficient in Ansys Fluent or FDS Simulation Strong
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to foster scientific interactions at the clinical, molecular, and analytical levels by providing state-of-the-art resources to Vanderbilt scientists involved in genetic and genomic research. VGI is headed by
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qualified in relevant subject area Ability to work as part of a team to collect research data in patients Strong analytical and technical skills (e.g. in MRI physics, AI, image processing or reconstruction
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practices High level analytical capability Ability to communicate complex information clearly Fluency in relevant models, techniques or methods and ability to contribute to developing new ones Ability
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» Computational chemistryYears of Research Experience1 - 4 Additional Information Eligibility criteria A background in analytical chemistry and/or physical chemistry is expected; experience with one
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control hardware. Knowledge of building management systems, software integration, data collection, and analysis. Industry or research lab experience is required. Strong analytical and conceptual abilities
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policy. Additional details may be found at the MESC website here: https://www.energy.gov/mesc/office-manufacturing-and-energy-supply-chains About this Opportunity The selected fellow will join the Energy
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31 Oct 2025 Job Information Organisation/Company Stockholms universitet Research Field Chemistry » Other Researcher Profile Recognised Researcher (R2) Country Sweden Application Deadline 9 Dec 2025
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AstraZeneca. It aims to transform antibody manufacturing using AI, automation, digital twins and advanced analytics to improve production of therapies for cancer, obesity and autoimmune conditions. Delivered