1,603 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "IFM" "IFM" "IFM" positions at Nature Careers
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of progress, working together with the communities we serve to share knowledge and bring greater understanding to the world. For more information, please visit about.springernature.com and
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information on the Department see: http://ecos.au.dk/en/ What we offer Excellent research infrastructure with access to state-of-the-art facilities, shared technical equipment, and strong technical support for
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innovation, clinical trials, big data, etc.). The individual will be responsible for securing competitive research funding, attracting, and training top-notch graduate students, publishing high impact journal
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design, consulting with other researchers, analysing data, and presenting and reporting results. You will primarily conduct in vitro experiments using molecular biology and gene-editing techniques, as
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, optimize, and expand workflows for spatial omics technologies, from sample preparation through analysis to data generation and interpretation. Integrate spatial methods with other modalities, such as
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background and research publications. As to the requirements for lecturer, please refer to Recruiting Notice on Teaching and Research Positions, released by Human Resources Department of NJFU at: https
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Declaration of interest regarding PhD project within the field of biomarker and therapeutic targe...
translational liver research, including data analysis, experimental design, and scientific dissemination. Qualifications We are looking for a highly motivated PhD candidate with a strong interest in translational
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, travel and much more. On-site secure parking All applications must be made via our website at: https://www.crukscotlandinstitute.ac.uk/careers/postdoctoral-fellows.html Closing Date: 8th March 2026
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allowance. The employment will initially be limited to three years. Important: Applicants must not have resided in Germany for more than 12 months in the past three years. Group website: https://biophys.uni
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” research themes. The successful candidate will have: a PhD in Translation Studies/Machine Translation; practical experience conducting data-driven research in a machine translation/large language models (LLM