42 parallel-computing-numerical-methods-"Simons-Foundation" Postdoctoral positions at Nature Careers in Germany
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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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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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), 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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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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are seeking an excellent and enthusiastic post-doctoral researcher with a strong interest in computational microbiome research. The specific focus of the project will be tailored to the candidate’s interests
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. The successful candidate will apply molecular, imaging, and electrophysiological methods to investigate the molecular mechanisms of somatic mechanotransduction. We use genetic mouse models and human cells to gain
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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
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on both fundamental magnetic interactions and applications for efficient energy conversion. We use element-specific methods such as X-ray absorption spectroscopy at synchrotron radiation sources and
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consortium SynThera funded by the Carl Zeiss Foundation (www.synthera.eu/ ). We are seeking an excellent and enthusiastic post-doctoral researcher with a strong interest in computational microbiome research
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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