45 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Edinburgh Napier University" research jobs at Nature Careers in Germany
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the usual documents until 1/11/2026 on the application portal of the university using this link: http://obp.uni-goettingen.de/de-de/OBF/Index/76205 . For more information get in touch with Serena Müller
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: Lead unbiased, data-driven integration of: Spatial transcriptomics data Genomic alteration profiles (copy number alterations, SNVs) Histopathological diagnoses and clinical metadata Radiomic features (in
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about and presenting scientific data Interest in working in a collaborative network of friendly scientists around the world Our offer The position offers an extremely international, well-equipped, and
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(e.g. RNAi, CRISPR/Cas9, small-molecules). In this context, we also develop new computational tools for automated analysis and data visualization. These include algorithms and software applications
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deformation and damage model for high-temperature fatigue Performing FE simulations of damage development at the microstructure and component levels Exchanging information and presenting the results with and to
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. These results will be used to apply the concept of odor guidelines in order to potentially develop information for the further development of the odor guideline concept. The tasks include in detail: Design and
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of Antarctic Marine Living Resources (CCAMLR), which aims to manage the fishery sustainably through ecosystem-based approaches that incorporate data on predator populations, ecosystem state, and krill abundance
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. Further information can be accessed by visiting our webpage at www.csbdresden.de Fellows have full access to state-of-the-art research facilities and infrastructure on the campus. Dresden is a vivid and
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), proteomics (LC-MS/MS), (epi)genomic data processing, multi-omics integration, machine learning approaches for high-dimensional data, confocal / two-photon imaging, tissue clearing and light-sheet microscopy
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/ Multi-Omics Data Integration Candidates with a strong background in bioinformatics, computational biology or epigenomics. Desirable experience includes single-cell and spatial omics analysis (scRNA-seq