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: Quantitative analysis of experimental data and description of spatial structures in crowds (e.g., Minkowski functionals, Voronoi analyses, clustering methods) Comparison of physical structural analyses with
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development and validation, you will also participate in the planning and execution of laboratory experiments and the analysis of the collected data. The project is being carried out in close collaboration with
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, the details of the process are not yet fully understood. Mechanistic learning, the combination of mathematical mechanistic modelling and machine learning, enables a data-driven investigation of the processes
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mathematics Proficient in programming (Python and C++) Fluent in written and spoken English; knowledge of German is an asset Strong analytical and independent working style Excellent teamwork and communication
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regulation, RNA biology, protein biochemistry, stem cells, bioinformatics, sequence analysis, mathematics, statistics, molecular evolution, or biophysics, and wish to work at the Max Planck Institute
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successful applicants will take part in the research and teaching activities at the Chair of Algorithmic and Structural Graph Theory within the Institute of Theoretical Computer Science at TUD. The main
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. We work at the interface of engineering, data science, and applied mathematics. Your profile We are looking for a highly motivated candidate with: M.Sc. degree in a relevant field. Excellent
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) Positions PhD Positions Country Germany Application Deadline 9 Dec 2025 - 23:59 (Europe/Berlin) Type of Contract Temporary Job Status Part-time Hours Per Week 30 Is the job funded through the EU Research
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Association. Our institute integrates cutting-edge biomolecular research, bioinformatics, and high-performance analytical technologies to explore the complex interactions between the human organism and food
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qualification (usually PhD). We are looking for highly motivated candidates with a strong background in theoretical computer science (in particular, algorithm design). The successful applicants will take part in