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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Oldenburg Oldenburg, Niedersachsen | Germany | 26 days ago
the molecular processes governing the establishment, maintenance, and breakdown of photosymbiosis in cnidarian hosts. You will generate and analyze high-resolution transcriptomic data to compare host cells and
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processes under ultra-high vacuum and chemically reactive environments. This predictive framework will enable rational design of vapor-phase synthesis pathways and support close collaboration with
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Leibniz Institute for Plasma Science and Technology | Greifswald, Mecklenburg Vorpommern | Germany | 13 days ago
)chemistry, bioinformatics or a related field Doctorate optional Experience with bioanalytical methods (mass spectrometry, flow cytometry) Strong affinity for numbers and mathematics as well as a keen logical
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Cancer). Your profile PhD in Bioinformatics, Computational Biology, Data Science, or related field. Experience in multi-omics data analysis and/or drug screen data processing. Experience with HPC/cloud
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, functional MRI, diffusion-weighted imaging, and EEG, in combination with genetic data (GWAS, bioinformatics) from large-scale population cohorts. Positioned at the intersection of biological psychology
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research consortium to study brain wiring that includes. : We are seeking an information theorist with an academic background in mathematics or bioinformatics and a specialization in information theory
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science, materials engineering and chemistry to improve the safety of products and processes. At BAM we do research that matters. Our work covers a broad array of topics in the focus areas of energy
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invasive sensing tools to monitor metabolites, oxygen, carbon dioxide, pH, and other parameters. Ideally, the methods can function in parallel and on a large scale. The research is vital to understand key
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and optimize large-scale training and inference runs for foundation models on JUPITER (multi-GPU/node, mixed precision, parallelization, I/O optimization) Integrate multimodal data sources (e.g., scRNA
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results. Machine Learning skills to automise comparison process. Unbiased approach to different theoretical models. Experience in HPC system usage and parallel/distributed computing. Knowledge in GPU-based