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can use and combine various cutting-edge data modes such as single-cell ATAC-seq, single-cell RNA-seq, spatial gene expression, and whole-genome sequencing. The candidate will get the opportunity
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methane concentrations Bioelectrochemical systems Sensitive oxygen measurement methods, including electrochemical microsensors and optodes Transcriptomic sequencing and bioinformatic analysis
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data, union data and measures of institutional embeddedness. The Fellow is expected to produce original research work from this data, delivering historical analysis of income distribution dynamics in
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bioinformatic analysis of NGS data. Hands-on experience in generating high-quality ChIP-seq data. Hands-on experience in culturing mammalian cells. Experience in molecular biology techniques, including use
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stronginterest and experience with GIS data and tools for urban mobility with someprogrammingskills of Python/R, JavaScript, database management environments, Geographical AI and machine learning workflows
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information. Experience in continuous variable quantum information processing and entanglement generation is preferred but not required. Experience in programming and data analysis. Ability to work
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development. Training in state-of-the-art technologies and data analysis as well as research management, oral and written communication and networking. Access to state-of-the-art equipment and facilities, e.g
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algorithms, and the integration of models and algorithms into simulation analysis. As a formal qualification, you must hold a PhD degree (or equivalent) in areas such as chemical engineering, chemistry
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create multi-fidelity predictive models that integrate data from quantum simulations and experiments, using techniques such as equivariant graph neural networks with tensor embeddings. We aim to train
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an independent research career. Responsibilities and qualifications We are looking for a creative and ambitious researcher with a PhD within cellular biology, molecular biology, bioengineering or similar. You must