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Field
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expression, clustering, dimension reduction, pathway analysis, survival analysis, and multivariable modeling. Strong analytical, organizational, and problem-solving skills. Ability to work independently while
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, plasma-FIB and Aquilos instruments, as well as our own BSL-2 cell culture suite and plunge freezer, extensive core facilities and a large computing cluster. Joining a lab at its start also means unusual
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reduction, clustering, penalized regression, multiple-testing correction, pathway analysis, network analysis, or multiomics integration Experience with longitudinal cohort studies, pregnancy or birth cohorts
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Duties and Responsibilities: Coordinate large-scale data collection and longitudinal tracking (10%) Statistical analysis of data including cluster analysis (20%) Interview participants in a mentored
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-energy physics. We invite applications for postdoctoral positions to join this interdisciplinary program. Successful candidates will have the opportunity to work on topics such as cluster algebras
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
optimization. Participate in collaborative research projects and mentoring. Contribute to academic publications, reports and seminars The selected candidate will be part of the Foundations Cluster of CIDSAI and
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, Cluster Analysis, Survival Analysis, and Pattern Recognition Methods (e.g., for microbiome compositional data analysis). Familiarity with neuroimaging and computational tools like MATLAB, SPM, and FSL is
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The Cluster of Excellence “Contestations of the Liberal Script (SCRIPTS)” examines why liberal democracies around the world face growing pressure and what strengthens their resilience. Funded by
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member of the QEYSSat international science team. Our group is part of the Institute of Photonics and Quantum Science (IPaQS), which is one of the UK's largest research clusters in Quantum Technology
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-level AI industrial park near Dongguan’s intelligent manufacturing cluster. This setting provides opportunities for collaboration across academia, industry, and applied research.