220 computer-programmer-"IMPRS-ML"-"IMPRS-ML" Postdoctoral positions at Nature Careers
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range of disciplines in plant biology, including ecology, computational biology, genetics, physiology, biochemistry, cell biology and molecular biology (see www.upsc.se). The postdoctoral scholarship
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system to treat cancer. An independent, nonprofit research institute based in Seattle, Fred Hutch houses the nation’s first cancer prevention research program, as well as the clinical coordinating center
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The Robotic Materials group at ETH Zurich Department of Materials is looking for three postdocs and one PhD for the project funded by ERC Starting Grant : "Distributed Addressable Robotic Material via Wavelength-Division-Multiplexing (ColorfulAct)". ColorfulAct aims to establish the building...
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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interpretation. A Ph.D. in biostatistics, statistics, bioinformatics, computational biology, or computer science is required. Strong computational background with programming and visualization skills in R and
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. Description We are looking for a postdoctoral computational biologist to decipher the genomic regulatory code controlling gene expression in plants. Within the ERC-funded multiCODE project, we aim to unravel
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to Dr. Christian Meyer at Christian.meyer@stjude.org. Link 1: www.stjude.org/research/why-st-jude/data-tools/research-computing/research-computing-resources.html Link 2: www.stjude.org/care-treatment
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types develop novel approaches for targeted genome manipulation work with advanced cell model systems (including gene editing and iPSC-derived models) plan and conduct independent research projects
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Postdoctoral Research Associate - Human Organoid/Assembloid Models of Schizophrenia-associated Risks
related fields within the last 3 years and who have experience in organoid development, patch-clamp techniques, 2-photon imaging, and computational neuroscience. The successful candidate will lead an
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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