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to the fields from multiple angles. The postholder will, with assistance from a PhD student, help to run a large multi-centre clinical study focused on the detection of metabolism in the healthy brain, funded by
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the relationship between technology and society. The priority areas of our center include (1) AI, Data Science and Society, (2) Privacy and Security, and (3) Platforms and Digital Infrastructure. CITP tightly
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
motivated and skilled Postdoctoral Research Associate. This position is part of the UNC Lineberger Comprehensive Cancer Center and will focus on cancer biology within a collaborative, multidisciplinary
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collegially with colleagues. Strong organizational skills. Understanding of lab equipment and operation. Strong ability to multi-task and work with many interruptions. Ability to adapt to a changing environment
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to eliminate infectious diseases, globally. Our specialisation is in developing health solutions for the most at-risk communities. Putting communities at the heart of our research, we develop tests, treatments
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candidate will be involved in a research project focused on the exposure to carcinogenic chemicals in the general population, using a multi-matrix approach. The main analytical work will involve
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. The successful applicant will support a multi-institutional team of computational biologists, immunologists and microbiologists to fully characterise the role of, and the interactions between, bacteria genotype
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security for the Cloud type infrastructure. The objective is to contribute foundational results for reliable algorithms in large scale Cloud architecture or multi-cloud systems. The position is available
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related to staff position within a Research Infrastructure? No Offer Description Area of research: Scientific / postdoctoral posts Job description: GFZ is Germany's national centre for solid Earth research
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-smokers. The successful candidate will have a leading role in the analysis of bulk- and single cell RNA-seq data, miRNA seq data from scarce particle samples, multi-omics integration and network medicine