276 data "https:" "https:" "https:" "UCL" "UCL" Postdoctoral positions at Nature Careers
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from Physical Review Letters. Some of our works are highlighted by globally prestigious journals including Nature. More information, please refer to our website. This will be a great opportunity to join
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biopsy development. This role is suitable for candidates with either (i) a computational background (e.g. bioinformatics, data science, computational biology) who enjoy working closely with experimental
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motivation to work on ultrafast spectroscopy, postdoctoral fellows should have an interest in working on biomedical problems. Contact Further information about the position may be obtained from Associate
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Work The place of work is Ny Munkegade 120, 8000 Aarhus C. Contact Information Further information about the position may be obtained from / For further information please contact: Dr Simon Wall +45
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screening, and multi-omics data to uncover cancer vulnerabilities and enable next-generation therapeutic target discovery. The group is supported by major competitive funding, contributes actively
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publications. For further information, please contact Prof. Dr. Anna Kornadt ( ) Your profile Ph.D. in psychology or a closely related discipline Strong interest in interdisciplinary research at the intersection
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of high-dimensional single-cell data, the lab aims to reconstruct accurate cell-lineage trees and use them as a scaffold to map genome-wide regulatory dynamics across development. The lab is highly
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(including NIH T32 funded slots), pre-doctoral internship and graduate student practicum levels. The Department also maintains comprehensive clinical-research and data science resources. Shared institutional
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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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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