12 high-performance-computing-postdoc Postdoctoral positions at Nature Careers in Sweden
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Do you want to contribute to top quality medical research? Interested in developing tools that bridge computational science and nucleic acid technology? Whether your passion lies in computation
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of the largest pan-cancer signaling models in the literature. SPARCED is compatible with high-performance and cloud computing, can simulate thousands to millions of single-cell trajectories, is easily expandable
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Do you want to contribute to top quality medical research? Interested in developing tools that bridge computational science and nucleic acid technology? Whether your passion lies in computation
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The Wallenberg Centre for Molecular Medicine (WCMM) at Linköping University launches a new Postoc program searching for the next generation of leading scientists! WCMM Linköping is part of a
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Postdoctoral Position and Postdoctoral Fellowship (2yrs) in Intracellular Host-Pathogen Interactions
trachomatis and either host cell-autonomous immunity or advanced culture models. ENVIRONMENT The postdocs will join the group of Dr. Barbara Sixt (Sixt Lab ), a highly international research team that is
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. The Perinatal laboratory is a research laboratory with extensive research activity of a high interna-tional level. The main languages are English and Swedish, the working environment is stimulating and developing
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. The work will use microorganisms as a starting base, as these are biologically relevant, yet complex and challenging to resolve spatially, provide an ideal benchmark for the method’s performance
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University. The postdocs will work in a collaborative and interdisciplinary research environment and will have opportunities for close interaction with other research groups at Umeå University and beyond
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mission and, with our focus on healthcare, research, and teaching, we bear a unique responsibility. To meet our high standards every day, we are looking forward to your scientific expertise in the Sánchez
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at the single bacterium level to this day presents a significant challenge. We seek to develop an efficient and cost-effective platform for transcriptional profiling of single microorganisms at ultra-high