19 programming-"the"-"DAAD"-"UCL"-"U"-"SciLifeLab"-"U.S"-"Prof"-"https:" "DIFFER" Postdoctoral positions at Nature Careers
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transcriptomics programme to gain deeper insights into how different types of brain tumours grow and how brain tumour and brain resident cells interact in this process. You will contribute to these research efforts
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establish gene expression programs in healthy cells, and how enhancers are altered by mutation, abused by mistargeting, and targetable with drugs in diseased cells. We characterize the specific core
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into hazard frameworks Quantify ground-motion exceedance probabilities and compare different PSHA implementations Contribute to reproducible open-source research software and data workflows Collaborate within
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as Postdoctoral researcher. Experience with advanced DNA sequencing analysis, including: - Proficiency in computational skills including programming (e.g., bash, Python, R) and command-line interface
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different laboratories including several labs at Yale School of Medicine. Scientists from your group will join cross-institutional lab meetings and have the option to visit some collaborators on-site
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different fields of research a work environment with close working relationships, networking and social activities a workplace characterised by professionalism, equality and a healthy work-life balance. Place
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: Extensive experience in programming using Python, R, or other languages Research experience in remote sensing of cover crop, crop type classification, and crop aboveground biomass quantification Insight
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many national, international and industrial collaborators a research climate encouraging lively, open and critical discussion within and across different fields of research a work environment with close
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to evaluate the spatial and temporal patterns of how those components interact. And the main focus of your position will be to evaluate how different agroecological practices contribute to soil health
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, animals, humans, and the environment. We want to make a difference by contributing to both fundamental knowledge generation and the attainment of sustainable production systems via innovative research