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”. Are you excited about the opportunities that data science in nutrition—especially the role of targeted metabolic modelling, machine learning and AI offer in developing effective personalized nutrition
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CO₂ capture technologies. The announced postdoc position is part of a work package dedicated to algorithms and thermodynamic models, where the primary task is to develop RAND‐based CO2 capture
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positions: Qualifications 1. Computational Biology & Data Integration Using multi-omics microbiome analysis, single-cell transcriptomics, and machine learning–based biomarker prediction models, this project
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modeling tools to develop and optimize new processes and equipment designs using high-performance computing Analyze data, prepare manuscripts for submission to peer-reviewed publications, prepare technical
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, computer scientists, and engineers. -Mentor and supervise master and PhD students. -Design, analyze experimental work, contributing to exploitation and dissemination of the project in the form of patents and
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of Research ExperienceNone Additional Information Benefits Applications are processed upon reception. The position might be closed once ten working days have passed since publication, so we encourage early
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Position overview Position title: Postdoctoral Scholar Salary range: Annual Starting Salary: See table 23 for the position salary range based on experience $69,073 - $82,836. Percent time: 100
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to diet. A strong foundation or affinity with statistical modeling, with the ability to translate complex data into actionable insights Are you ready to set the course for the years ahead? Then we’d love
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scalability studies to identify and improve bottlenecks in large codes. Experience in development of data-driven reduced-order models in one or more of these areas: turbulence, boundary layer flows, combustion
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Campus Address 1230 E. Speedway Blvd., Tucson, AZ 85721 USA Position Highlights The Electrical and Computer Engineering (ECE) Department at the University of Arizona is seeking a qualified and highly