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Kolter, Tjibbe Donker and Philipp Henneke analysis of multiscale single cell ‘omics data in in experimental and human models reference genome and transcriptome assembly and annotation across species
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Description Reference number 3702 Pay grade E 13 TVöD Place of work Berlin Limited for three years Application deadline 10.06.2025 Apply here BfR job [jsp?id=003702en&dbv3_man=allgemein-Datei
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Your Job: One essential step towards the ramp-up is the identification of site-specific optimal design of DACS plants, which will be the focus of the advertised PhD. To identify optimal DACS plant
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Max Planck Institute for Plasma Physics (Garching), Garching | Garching an der Alz, Bayern | Germany | 2 months ago
collaboration with NBTF and other partner institutes Your profile PhD degree in Physics or equivalent fields Experimental experience and modelling capabilities Knowledge of ion beam physics is an
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female immunity. The field of study may comprise the entire spectrum of specific scientific questions con-cerning the female immune system. This position has been established through the program “Gender
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maintain pipelines for the analysis of high-throughput sequencing data, including RNA-seq, ChIP-seq, ATAC-seq, and single-cell and spatial omics. Integrate machine learning and large language models (LLMs
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computer vision in dusty conditions by incorporating hyperspectral cameras. In addition, assisting in project applications and general development duties of the Chair. The position is available from
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for Studying Metabolic Plasticity (ECR 5) For further information please visit: https://www.umg.eu/en/potenziale-entfalten/ecr What we offer: Generous support (your own position, a postdoc (1.0), a PhD student
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you: the opportunity to work in a world-class research center with state-of-the-art facilities and scientists from all over the world. a collegial working atmosphere. A 3-year PhD position, starting
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sites will not be located directly at the source of emissions, which will require transport infrastructure. As part of this work, you will model spatially resolved transformation paths for the energy