908 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Ulster-University" positions at Nature Careers
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computational methods and algorithms for genomic sequencing data analysis, particularly in the context of genome assembly. This is an exciting opportunity to develop novel computational approaches for microbial
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. However, progress is constrained by the scarcity of high-quality, well-characterized in vitro T-cell immunogenicity data. In this project, we will leverage expertise and technology in peptide T-cell
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high-throughput workflows, including single-cell proteomics. It operates state-of-the-art instrumentation and advanced data analysis pipelines within the multidisciplinary ecosystem of Human Technopole
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Postdoctoral Research Associate - Hybrid Computational-Experimental Scientist in Bacterial Drug Resp
-or vice versa-who wants to grow into a scientific leader at the interface of data and biology. What You Will Do • Combine experimental and computational approaches to analyze bacterial responses
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Software Engineer - Image Quantification and Artificial Intelligence (IQAI), Department of Radiology
technical autonomy. You will be responsible for engineering the core imaging data science infrastructure that powers our clinical and research missions. In addition to collaborating on high-impact AI research
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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About the Role: Advanced imaging techniques at HHMI Janelia Research Campus produce large amounts of image data that require at-scale analysis to extract useful information about the biological
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sections with around 350 highly skilled employees, of which approximately 50% are scientific staff. More information can be found here . We believe in encouraging inclusion, acceptance, and understanding by
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researcher network. The department consists of nine research sections with around 350 highly skilled employees, of which approximately 50% are scientific staff. More information can be found here . We believe
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providing support around IT systems (e.g. operating systems; setup and configuration of computers, printers in a networked environment, and mobile devices; maintenance of hardware components and computer