429 computer-programmer-"https:"-"U"-"UCL" "https:" "https:" "https:" positions at Nature Careers
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• Else Kroener Excellence Grants 2026: Funding program for US-based outstanding medical researchers • The Else Kroener Fresenius Foundation (EKFS) will provide a total of €10 million in funding
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DTU Tenure Track Assistant Professor in Microbial ecology and microbiome engineering - DTU Bioeng...
-track Assistant Professor position. The successful candidate will establish an independent, internationally competitive research program and contribute to teaching, supervision, and interdisciplinary
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program specific seminars as well as an individualized curriculum comprising lab and soft-skill courses, congresses, symposia and summer schools. Communication and teaching language throughout HBRS is
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. In addition, the Junior Research Group Leader will be encouraged and supported to acquire third party funding, e.g. from the Deutsche Forschungsgemeinschaft (Emmy-Noether program), European Union (ERC
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programme and the application process, please visit the Charleston website: https://cuni.cz/UKEN-2185.html . For inquiries, contact us at msca.charleston@cuni.cz.
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/articles/s42256-024-00821-x, https://pubs.acs.org/doi/10.1021/acs.analchem.5c06256, https://www.nature.com/articles/s41570-023-00570-2). The research is computational in nature but involves close
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health, medical data science, computational medicine, and bioinformatics with capability in developing innovative research, teaching, and technology transfer programmes that bridge AI and medicine
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/~wwang7 . Position Title: Postdoctoral Fellow in Cancer Computational Biology Program/Position Description: Analyze next-generation sequencing (NGS) data, including: Develop computational and statistical
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an integrative perspective through all biological scales (https://www.upf.edu/web/biomed/programmes ). Our research groups are supported by cutting-edge core facilities in scientific computing, flow cytometry
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fellow to join our translational research program in macrophage biology/immunology. Our team takes a systems approach—integrating multi-omics, network science, machine learning, and comprehensive in vitro