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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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-PCR, microscopy and computational analysis skills (such as RNAseq, sc-RNseq analysis) are considered advantageous. The applicant should have the ability to work productively both independently and as
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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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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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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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, 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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Principal Investigator in the project’s implementation. Among other research tasks, the postdoctoral researcher will a) help conduct a multimodal analysis to examine how relations between humans, aquatic
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with the land surface model to conduct regional simulations; Flux and concentration footprint modelling; Post-processing of eddy covariance data, gap filling and data analysis; Plan, coordinate and
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, to uncover convergent gene regulatory mechanisms, with the goal of informing therapeutic strategies. Tasks The tasks will include one or more of the following: Analysis of data collected from developing
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statistical field theory, for example, topics involving constructive quantum field theory, renormalization group theory, conformal field theory, or analysis of near critical models. Excellent written and verbal