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benefits Start Date:April 2026 Position Summary ISCA seeks a visiting research fellow to advance understanding of contemporary antisemitism through computational analysis of social media platforms
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sustainability. For more details, please view https://www.ntu.edu.sg/ase The Organo-Mineral Group (OMG) within the Asian School of the Environment (ASE) is seeking a Research Fellow. This position is part of a
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Description Organic Unit: IST Analysis Lab Scholarship Theme: Implementation and validation of methods for the analysis of organic compounds Objectives Implementation and validation of methodologies
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Research Theme @ SHIMR, Dept. of Biosciences, SST - https://www.ntu.ac.uk/staff-profiles/science-technology/thomas-wishart ), with members of his research team the successful applicant will generate and/or
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: Academic training and experience in research and development activities will be valued, as well as knowledge in the following areas: chemical and instrumental analysis for quantification, identification and
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will: 1. Identify the biological system of 7 targeted salt production systems using molecular approaches. 2. Conduct a comparative analysis of the biological systems in the 7 targeted salt production
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Roiser, the Research Fellow will contribute to a new study examining how social media use relates to mental health outcomes in youth. This role will involve the collection and analysis of real-world social
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applications for the prestigious Newton International Fellowship (https://royalsociety.org/grants/newton-international/ ) in the field of Geotechnical Engineering. Candidates with expertise and a strong research
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the lifespan with a particular focus on the developmental span extending from childhood through young adulthood. Ongoing projects in Dr. Miller’s lab include (1) utilizing integrative data analysis to harmonize
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platforms Design and execute surveys and interviews to collect data (including participant recruitment) to address the relevant research questions. Perform statistical analysis on survey/experimental data