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connectome, with a focus on the chemosensory circuits involved in human host-seeking. The principal focus will be on the high level proofreading, annotation and analysis of connectomics data. This will include
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working in radiological environment. Experience in heat transfer and thermal modeling/simulation using finite-element analysis (FEA) or other software. Ability to work within a multi-disciplinary team
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or infrastructure. This is what makes our daily work so meaningful and exciting. The Division of Medical Physics in Radiation Oncology is seeking, in close cooperation with the Division of Radiooncology/Radiobiology
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of Mathematics at The University of Texas at Arlington invites applications for a postdoctoral researcher, beginning September 1 2025, to work in a new Research Training Group, “Vertically Integrated
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to the clinic The post holder will be based in the Department of Biomedical Computing as part of the School of Biomedical Engineering & Imaging Sciences, King’s College London, a vibrant community of engineers
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satisfactory performance and funding availability. Applicants should possess a Ph.D. degree in epidemiology, biostatistics, applied mathematics, data science or other related disciplines. They should have strong
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of Biomedical Computing as part of the School of Biomedical Engineering & Imaging Sciences, King’s College London, a vibrant community of engineers designing and translating technology into the clinical
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or Postdoc Position in Numerical Mathematics m/f/d, 100%, 2 years+ As part of the second phase of the DFG funded Priority Programme SPP2311, the Chair for Numerical Mathematics under the leadership
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(https://www.naritalab.com/ ) seeks a skilled Research Assistant for a 3-year fixed-term role starting October 2025. The Narita Laboratory investigates the interplay between cellular senescence and tumour
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, transportation, and more, with a special emphasis on grid resilience assessments and equity analysis. You will have the opportunity to creatively use interdisciplinary methods from computational data science