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algorithms to analyze OMICS data (e.g., genome, transcriptome, proteome, microbiome) from patient samples and basic research perform single-cell RNA-Seq and spatial transcriptomics analysis apply artificial
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Media (EDM), the Research Training Group KD²School (KD²School), π³: Parameter Identification – Analysis, Algorithms, Implementations (RTG π³), the UBRA AI Center for Health Care , and the ZeMKI
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efficient algorithms and machine learning/artificial intelligence methods in combination with complex network analysis tools to predict and model interactions between food and biological systems • Further
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algorithms. This is a hands-on opportunity to apply state-of-the-art methods to patient samples within the largest and most advanced scientific organization in Germany. Learn more about us and our work here
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that algorithmic parameters are tuned so that the over-approximation of the computed reachable set is small enough to verify a given specification. We will demonstrate our approach not only on ARCH benchmarks, but
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creating reference test cases for comparative evaluation of new methods and algorithms. We are seeking a Research Associate specializing in Machine Learning to contribute to the digital analysis and
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of AR glasses that support local AI models Integration of additional sensor technology to enable stroke detection Development of algorithms and application of AI models to recognize stroke symptoms
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: • Mathematical derivation, analysis, and comparison of models, methods, and simulation approaches. • Rapid prototyping of new ideas in custom code. • Implementation of new models, methods, and algorithms
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near-real-time forecast system for the Baltic Sea Generate high-resolution daily surface salinity maps for the Baltic Sea and validate them with available observational datasets Develop algorithms and
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”. The “Computational Methods” group focuses on the design and simulation of laser beam sources and laser processes, using numerical methods and modern artificial intelligence algorithms. To strengthen the team, we