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analysis, and/or numerical modeling. Experience in modeling and evaluating the impacts of climate and climate change, large-scale data analysis and interpretation, and independent research is required. City
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investigators. Biostatistics methods will include complex survival analysis, longitudinal analysis, machine learning, and causal inference. You will benefit from access to unique datasets and expertise from two
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involve the preparation of grant proposals. The research will focus primarily on the design and construction of novel mass spectrometer prototypes for the in situ analysis of extraterrestrial material
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on current urban challenges in Amsterdam (specifically regarding housing and energy) and bridges academic analysis with concrete policy and practical questions. This position offers a unique combination of
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initiatives, including framework development, physics and statistical analysis, scholarly publications, conference presentations, student mentorship, and outreach activities. Opportunities to Contribute
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% of expected effort). Much of this research will be done in collaboration with an industry partner, so an ability to interface with the private sector is desired. They will also lead analysis of existing
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biological datasets. Proficiency in R and/or Python and experience working in Unix/Linux computational environments. Familiarity with statistical methods for genomic data analysis, including differential
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and data science. This cycle's focus is on AI-powered data analysis to advance hypothesis-driven research related to addiction. Computational analysis of previously collected data can increase the speed
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data-taking and analysis in search for dark matter and other new physics signals. The XLZD experiment is the next-generation detector, and the Oxford group is working on the fieldcage design. The
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the Taschner-Mandl Group, focusing on the analysis of single-cell and multi-omics data from patient samples. The project aims to uncover the tumor microenvironment and (epi)genetic drivers of neuroblastoma