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Field
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on these considerations, solutions will be developed and implemented to create an advanced testing platform for the comprehensive evaluation of the long-term stability of invasive brain-computer interfaces. Your task will
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Computer Science, Bioinformatics, Biomathematics or a similar subject Competitive scientific publication record High level of intrinsic motivation and enthusiasm for translational research connecting academia and
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Friedrich Miescher Laboratory of the Max Planck Society, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 20 days ago
Multiome, CUT&Tag, spatial transcriptomics (e.g. 10X, SlideSeq)) Analysis of cross-species datasets using single-cell methods Develop your own project Processing and quality control of NGS datasets from both
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Computer Science, Bioinformatics, Biomathematics or a similar subject Competitive scientific publication record High level of intrinsic motivation and enthusiasm for translational research connecting academia and
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in the fields of microbiology, chemical biology, infection biology, biogeosciences, aging research, optics/photonics, materials science and bioinformatics/systems biology. Jena has an attractive
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algorithms for application parallelization, simulators and virtual platforms for application- and architecture exploration, hardware/software co-design and operating/runtime systems. Typical application
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. In this position, you will drive the bioinformatical/computational aspects of collaborative projects aiming to ultimately improve immunomonitoring of cancer patients by providing a refined strategy to
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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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of cloud microphysical processes, with the goal to better understand clouds and their interactions with other Earth system components. Using this framework, we strive for a high degree of process-level
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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