279 engineering-computation-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" Postdoctoral positions at Nature Careers
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Postdoctoral position to study Polo kinase and centrosome abnormalities in cancer and other diseases
the centrosomal architecture and function, the deregulation of which can lead to the development of various human diseases, including cancers, microcephaly, and AIDS. For additional information, please visit https
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outreach activities, including engagement with students and the broader public For further information, please contact Prof. Eva LAGUNAS at . Your profile Ph.D. in Electrical/Computer Engineering, Computer
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gases, radionuclides, or air pollutants. Our future research strategy also includes studies of the higher atmosphere. To learn more about our team, we invite you to visit our website: https
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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reprogramming event and its role in cell transformation. The lab leverages genetically engineered mouse models, patient-derived xenografts, human and mouse tumor and primary cell lines as well as human induced
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Postdoctoral Fellow in innate immunity Employer: Mount Sinai School of Medicine Research lab: Teunissen lab Institute Biomedical Engineering and Imaging Institute PI: Dr. Abraham Teunissen Location
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provides excellent opportunities to explore the intersections between these disciplines. Read more here: https://www.sdu.dk/en/om-sdu/institutter-centre/fysik_kemi_og_farmaci/ominstituttet Application
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Dynamics group combines biochemistry, next-generation sequencing and computational analysis to understand how chromatin remodelling enzymes shape nucleosome positioning and genome regulation. We develop and
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, providing direct feedback on theory analysis and further predictions. The goal is to develop a theoretical and computational approach that has strong predictive power for finding completely new types