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Field
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, and/or genomic medicine. In particular, we seek applicants with expertise in techniques such as single-cell and spatial transcriptomics, genome-wide DNA methylation analysis, CRISPR/Cas-mediated genome
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programming language) and a curious mindset. Experience in analyzing spatial data is a plus, and a good command of English (written and spoken) is required. Applicants should be team players, who enjoy
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homologous recombination and its intersection with the spatial organization of chromatin in the nucleus. They use high-throughput genomics approaches in the model organism S. cerevisiae. They are looking for a
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Google Earth Engin, R, Python, and STAN (e.g., deep learning, Bayesian regression models, spatial analyses), and running analyses on a high-performance computing cluster. Demonstrated record of publishing
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spatial movement data using your own code, and experience with quantitative acoustic analyses is an advantage. You must have strong English skills both orally and in writing. Who we are The Center
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and clinical outcome through comprehensive tumor profiling. The project integrates spatial transcriptomics, long-read sequencing, DNA methylation analysis, and microbiome profiling to gain a deeper
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marine spatial planningamingothers. Limited teachingwithin the areacanbeexpected, but also in otherstudy programmes at the University. Youmayobtainfurther professional information from Prof. Jamal
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postdoctoral scholars, working on the development of a core, scalable methodology. This methodology leverages existing spatial data on landscapes, fire behavior, and fuel treatments to evaluate real-world
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terms of technologies, infrastructures, (geo)spatial distribution, scale and related investment needs matters for how and which stakeholders are affected, who gains or loses power, and how benefits and
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. While processors and network interface cards can be time-multiplexed, RAM is spatially shared. Memory is therefore often the bottleneck when dimensioning and operating data centers. The candidate will