259 computational-physics "https:" "https:" "https:" "https:" "INRAE" Postdoctoral research jobs at Nature Careers
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work at the intersection of materials science, physics, and engineering, shaping the future for sustainable energy and automotive applications. The position is funded under the MSCA-COFUND scheme
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The Microbiome Dynamics (MBD) department contributes, using computational methods, to the development of personalized microbiome-based strategies to aid in the detection, monitoring, treatment, and prevention
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and processes. At BAM we do research that matters. Our work covers a broad array of topics in the focus areas of energy, infrastructure, environment, materials, and chemistry and process engineering. We
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-biologists. The team consists of a dynamic mix of experimental and computational biologists aiming to examine the factors and complexes governing the production and turnover of eukaryotic transcriptomes. What
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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A postdoctoral research associate position is available in the laboratory of Dr. Lindsay Schwarz in the Department of Developmental Neurobiology at St. Jude Children's Research Hospital. The Schwarz lab is looking for motivated individuals interested in using innovative in vivo and molecular...
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experience in microbiome research sequencing is preferred. Experience with statistical analysis and data visualization, and with using a computational cluster including job scheduling is required. A strong
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to the ‘Biological Nitrogen Fixation’ program. This initiative seeks to engineer biological nitrogen fixation into widely grown crop plants to improve yields and reduce global reliance on synthetic fertilisers
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us to better predict their future survival, improving their local-global conservation policies. In this project, we will address this by combining high-resolution micro-Computed Tomography and AI