291 data "https:" "https:" "https:" "https:" "Dr" "UCL" "UCL" Postdoctoral research jobs at Nature Careers
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our publications here . Our team is at the forefront of bringing autologous cell replacement therapies with CRISPR-edited muscle stem cells towards the clinic (https://www.mdc-berlin.de/news/news/deep
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2021; Khoshkhoo et al. JAMA Neurology 2023; Farrell et al. Nature 2024; Bizzotto et al. PNAS 2025; Khoshkhoo et al. bioRxiv 2026. For more information, please check our websites at https
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of Experimental Medicine and Therapy Research, in the laboratory of Dr. Melanie Werner-Klein (https://www.experimentelle-medizin.de/erforschung-der-metastasierung ), we are inviting applications for a highly
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The laboratories of Dr. August Yue Huang in the Division of Genetics and Genomics at Boston Children's Hospital and Harvard Medical School and Dr. Sattar Khoshkhoo in the Department of Neurology
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website at https://anth.la.psu.edu/ for more information about Penn State's Department of Anthropology. Review of applications will begin immediately and continue until the position is filled. BACKGROUND
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priorities, such as Sustainability, Digital transformation and Circular economy, through the execution of five Strategic Research Programs: Data Science for Tires, Tire as a Sensor, End-of-Life Tire
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Ramstedt, https://www.umu.se/forskning/grupper/madeleine-ramstedt-lab/ ) and in vibrational spectroscopy (Dr Andras Gorzsas, Science for Life Laboratory (SciLifeLab) group leader, https://www.umu.se/en/staff
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to Dr. Divij Verma at Divij.verma@einsteinmed.edu Closing Applications will be accepted on a rolling basis until the position is filled. For more information about our work, visit https
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models for mass spectrometry data, or multimodal models integrating multiple sources of analytical data for the discovery of metabolites and other types of small molecules. The position will remain open
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Postdoc position in method development in human statistical genetics, with a focus on classificat...
University. Dr Speed's research involves developing statistical methods for better analysing data from genome-wide association studies (GWAS), with a particular focus on improving our understanding of human