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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | 22 days ago
services. The work is conducted in continuity with the PRIMO research project (https://primoproject.github.io/index_fr.html ), which investigates how digital mobility-support tools shape mobility practices
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deployment enabling validation and demonstration of real-world applications. For more details, please view https://www.ntu.edu.sg/erian To support the research progress on Perovskite Thermal evaporation and
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on the study and clinical use of biosignals, or signals that can be continuously measured and monitored from the human body. Our areas of research broadly focus on improving biosignal analysis through signal
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bioinformatic analysis workflow. Extraction of DNA from sediment samples collected within the project, and metagenomic bioinformatic analysis. Preparation of results for scientific publications within the CoE
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-based reconstruction algorithms and image analysis pipelines. These approaches will provide highly efficient high-dimensional MRI image acquisition and reconstruction. We seek an enthusiastic and
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CEAR 02/A, with particular regard to the areas related to the integrated management and valorization of solid waste, the analysis of environmental sustainability, including Life Cycle Assessment and the
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& Budget Strategy Institutional Analytics & Decision Support Policy, Planning & State Operations University Business Services The Data Analyst supports the University of Washington’s Institutional Analysis
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molecular cloning, protein characterisation, and data analysis, working closely with Dr Audrey Teh and collaborators across the AMS project network. We are particularly keen to hear from candidates with a
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supporting studies on decoding the responses to cell death, integrating computational analysis with experimental design and fostering collaborative research within the Center for Immunology (CFI
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Functions Cleaning and organizing datasets Performing exploratory data analysis Preparing features for modeling The student will implement and evaluate statistical and ML models for various applications