42 parallel-computing-numerical-methods-"Prof" Postdoctoral positions at Nature Careers in Germany
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of heart disease Your studies will take advantage of in vitro and in vivo pre-clinical models, including hiPSC-derived systems The postdoctoral project will combine experimental (wet-lab) and computational
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data analysis experts. The main tasks include the analysis of complex biomedical data using modern AI methods, as well as the development of novel machine and deep learning algorithms to understand
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-material-interaktionen.html ) Innovative microbiome research (microbiology, molecular biology, project and laboratory management) Tasks in method development for effective and relevant environmental
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Prof. Thomas Pietschmann, at TWINCORE - Center for Experimental and Clinical Infection Research in Hanover, is seeking a Postdoc for hepatitis C virus vaccine research (f/m/d) Join a mission-driven team
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, computational data analysis and microbial evolution, with a solid understanding of quantitative statistics and programming (Python, R, MATLAB, etc.). Additional expertise in ancient DNA, (bio)archaeology
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). The aim is to use modern molecular biological methods and in vivo models to investigate the role of fibroblastic plasticity in cardiac remodeling and loss of function. Your role: Independent work on the
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until 31.12.2028 Remuneration according to TV-L The Göttingen Campus is hosting numerous prestigious and internationally renowned research institutions. This includes the University and its Medical Center
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), located in central Berlin, is seeking a highly motivated postdoctoral researcher with a strong computational background to develop new methods for analyzing multimodal data from genetic and pharmacological
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toxins, as well as their native stoichiometry, assembly and maturation. To this end, a combination of methods including membrane complex reconstitution and isolation, biochemical and biophysical
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environment in the fields of science, technology and administration as well as for the education of highly qualified young scientists. The computational imaging group at DESY is concerned with the development