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bioinformatics analysis for large-scale spatial and single-cell omics as well as next generation sequencing studies. Assist researchers in programming and data analysis. Perform analysis of complex and large-scale
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focus on translational Research, Development & Deployment which focus on specific area of the energy value chain, and a number of Living labs and Testbeds which facilitate large scale technology
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of this programme. The profile PhD in computer vision, computational biology, physics or a related discipline Demonstrated expertise in image analysis and working with large-scale imaging datasets Strong expertise in
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, and advanced sequencing technologies to generate large-scale datasets. In parallel, you will develop and apply computational pipelines that integrate sequence analysis, structural modeling, and
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in in vitro reconstitution, live-cell imaging and electron microscopy Excellent written and oral communication skills in English - essential for data analysis and communication with stakeholders
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7 Apr 2026 Job Information Organisation/Company UNIVERSITY OF SOUTHAMPTON Research Field Engineering Physics Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1) Established
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Center for Biologics Evaluation and Research (CBER) | Silver Spring, Maryland | United States | 8 days ago
scientific data, including large-scale omics datasets, within high-performance computing (HPC) environments. Learning Objectives: Under the guidance of a mentor, you will gain skills in and learn to: Develop
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) Location: Big Rapids, MI Department: OAR Research Support Advertised Salary: $14.25 Summary of Position: The Summer Student Fellowship is intended to promote collaborative research projects between faculty
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Humber. Conducting in-person, phone or online interviews at multiple time points. Analysing large qualitative datasets. Writing for publication and presenting to different audiences. The post-holder will
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and MySQL databases in HPC environments for large-scale data analysis. Collaborate with interdisciplinary teams to support data-driven biological discovery. Publish scientific papers, release datasets