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, GPU architectures, and programming in C++ and Python. This is a 100% TVL E13 position with an application deadline of August 14, 2026. About us Located in the prosperous capital of Bavaria and home
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and optimisation Experience in one or more of the following areas would be advantageous: EO or geospatial data analysis, parallel or distributed computing, GPU programming, Linux and containerised
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extremely useful. We require good programming skills and experience in C++ and its common programming idioms and design patterns . Knowledge of MATLAB, Python, Julia, or a similar scripting language is
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A completed master's degree in Computer Science, Artificial Intelligence, Software Engineering, Robotics, or a related field Strong experience in software development and excellent programming skills
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clinical datasets, high-end GPU and storage infrastructure, international research collaborations, and dedicated funding for international conference participation. Supervision The PhD candidate will be
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validation of designs through fabrication. (Bio-)chemical and/or medical applications of microfluidic devices. Simulation for microfluidics. (CFD) High Performance Computing and/or GPU programming for
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hardware backends. Design conventional (GPU-based) deep neural networks for comparison. Publish research articles and participate in top international conferences to present your work. Complete one
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<span lang="en">Universitätsklinikum Hamburg-Eppendorf</span> | Hamburg, Hamburg | Germany | 7 days ago
resources for travel and conferences
- Work on cutting-edge AI methods with direct clinical relevance
- Access to large-scale multimodal biomedical datasets and modern GPU infrastructure
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or AI engineering, with hands-on experience delivering and supporting production software, data-intensive workflows or computing services Strong programming skills and practical experience with Linux
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cancer genomics, tumor immunology, target discovery, or neoantigen research. Strong programming skills in Python or R for bioinformatics workflows and reproducible data analysis. Hands-on experience with