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of technical documentation. Your profile: A completed university degree (Master's or equivalent) in Bioinformatics, Computer Science, Life Sciences, or a related discipline. Strong expertise in database
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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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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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are expected to reveal new mechanisms of genome instability, inform RS-targeting therapies, and open avenues for personalized treatment strategies. YOUR PROFILE Major in biology, bioinformatics, or related
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to scientists and investigate possible applications of ML in fields like Chemistry, Numerics, Computational Biology, Astrophysics, Heliophysics etc. You will be involved in all phases of this process. You will
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computing, domain-specific multi- and manycore architectures, networks-on-chip (NoCs), methods and algorithms for application parallelization, simulators and virtual platforms for application- and
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computational methods using network-based analysis, machine learning and dynamic modeling. We are a young, dynamic team at the idyllic Dahlem campus and teach mainly in the Computer Science, Bioinformatics and
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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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/ health applications. Requirements: PhD in one of the following fields (depending on the focus area): Applied mathematics, computer science, engineering, physics Computational biology, bioinformatics
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Friedrich Miescher Laboratory of the Max Planck Society, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 2 months 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