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decade, providing opportunities to mine big data to learn more about the drivers of AMR in humans. Our work includes computational analysis of antibiotic resistance and microbiomes, statistical analysis
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data has increased massively in the last decade, providing opportunities to mine big data to learn more about the drivers of AMR in humans. Our work includes computational analysis of antibiotic
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mental health and computational social science, using large-scale social media analysis, smartphone-based sensing, and agent-based modeling. Combining macro-level patterns with micro-level behavioral data
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participate in a project which investigates and develops novel immunotherapies (cell therapies) to cancer, utilizing both mouse and human systems. Applicants should possess a PhD degree or be close to
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-seq, single cell analysis, integration/harmonization of data) Demonstrate excellent written and verbal communication skills Have the ability to work independently and collaboratively in a dynamic
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analysis, data science, discrete and machine learning algorithms, distributed, intelligent, and interactive systems, networks, security, and software and database systems. The department has extensive
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2025, or as agreed, in a fixed-term contract until 31.8.2029. Background The positions are opened in the HIP CMS experiment group, which contributes to the analysis of data from the CERN CMS experiment
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, developmental biology, genetics, biomedicine, or another appropriate field. Previous experience in confocal imaging and image analysis, scRNA-seq data analysis, or genetically engineered mouse models is
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policymakers and industry professionals to assess how such policies affect cloud adoption, infrastructure investments, and data centre locations. Contributing to quantitative analysis using policy and
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of the near critical Ising model, or the massive Thirring model. Qualifications We are looking for applicants with a PhD in mathematics or theoretical physics, with experience in mathematically rigorous