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research on secure algorithms and protocols for privacy-preserving analysis of genomic and clinical data. Develop and integrate methods for variant filtering, prioritization, and rare-variant association
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Max Planck Institute of Molecular Physiology, Dortmund | Dortmund, Nordrhein Westfalen | Germany | about 1 month ago
join our multi-disciplinary team to work on algorithms for mass spectrometry data analysis. The Becker group is working in close collaboration with Johannes Köster at the Institute for AI in Medicine
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for combined network design and resource pricing, incorporating fairness for different transport aspects (e.g., accessibility, emissions, safety) employ state-of-the-art metaheuristic algorithms (e.g., genetic
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analysis, with possible specialisations in genomic and molecular biology techniques as well as in algorithms, statistics and artificial intelligence for molecular genetics. This is based on perspective and
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, incorporating fairness for different transport aspects (e.g., accessibility, emissions, safety) employ state-of-the-art metaheuristic algorithms (e.g., genetic algorithms, simulated annealing) to solve large
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, incorporating fairness for different transport aspects (e.g., accessibility, emissions, safety) employ state-of-the-art metaheuristic algorithms (e.g., genetic algorithms, simulated annealing) to solve large
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Laboratory Medicine, University Institute for Medical Genetics, University Institute for Medical Microbiology and Virology, University Institute for Diagnostic and Interventional Radiology, and the Division
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Computation is a cooperation between Freie Universität Berlin (departments of Mathematics and Computer Science as well as Biology, Chemistry and Pharmacy) and the Max Planck Institute for Molecular Genetics
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Computational Molecular Medicine, led by Prof Julien Gagneur, develops computational approaches to study the genetic basis of gene regulation and its implication in diseases. Applications of our work range from