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(CHX, 11-ID) beamline at NSLS-II seeks a postdoctoral researcher with a strong background in computational imaging, data science, or scientific computing. This position will focus on developing advanced
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to multitask and work independently as well as in a team. Experience in large-scale research project management and development, knowledge of statistics and big data analysis would be highly desirable. A highly
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microbiomes, and antibiotic resistance in large population cohorts and big data to help mitigate the global antimicrobial resistance (AMR) crisis. AMR is one of the biggest threats to human health and is
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Post-doctoral Fellow/Senior Research Assistant in the Centre for Information Technology in Education
linear regression, mediation analysis, multilevel modeling, and/or latent variable models. Experience in managing and analyzing large datasets, and the use of generative AI tools for research purposes
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2 Sep 2025 Job Information Organisation/Company CNRS Department Génétique et biologie du développement Research Field Physics Researcher Profile First Stage Researcher (R1) Country France
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from human blood and tissues) and analysis of -omics data, including spatial transcriptomics, to investigate the role of CD8 T cells in the cellular and molecular mechanisms of autoimmune diseases
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further including to automated platforms to generate large statistical data sets. We will also experiment with untried higher spatial resolution techniques. The large, multi-dimensional data sets will be
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crisis, often referred to as the ‘silent pandemic’. Most of the antibiotics in clinical use are natural products derived from microorganisms. Large-scale bacterial genome sequencing has revealed that most
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, which greatly increases the complexity and cost of making such measurements. Therefore, research on alternative methods to detect tiny magnetic fields is a top priority. In a large Novo Nordisk Foundation
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, experiments, and macroecological analyses using so far untapped global monitoring data across all populated continents. Your position The successful candidate will focus on macroecological analyses of non