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. Literature describes mathematical models to predict these currents based on network theory and difference equations. The goal of this internship is to implement such a model in Python, validate it against
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3 Sep 2025 Job Information Organisation/Company University of Potsdam, Faculty of Science Department Institute of Mathematics Research Field Mathematics » Other Researcher Profile Leading Researcher
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Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau | Kaiserslautern, Rheinland Pfalz | Germany | 26 days ago
applications for single-cell data analysis, - Use of knowledge graphs in drug development, - Predictive models for genetic interaction analysis, - Explainable AI for the identification of biomarkers
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applications for Junior Research Group Leaders to utilize artificial intelligence (AI) to address the following focus areas: AI-supported Mechanistic Mathematical Modelling and Simulation Computational Network
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disease mechanisms by leveraging biophysical theory and mechanistic, mathematical modeling. Our interests include the inflammatory responses to infection, the organization of chromatin and protein
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-time data acquisition during production, consulting, and prototype manufacturing. Graph neural networks provide an opportunity to operate on Mesh structured data utilized in Finite Element Method (FEM
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work environment and gaining exposure to various aspects of semiconductor design. What you bring to the table • Master's degree in electrical engineering or related fields such as physics, mathematics
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potential applications of these core operations in adaptive manufacturing systems, e.g., for probabilistic modeling or simulation of production processes. What you bring to the table Enrollment in Mathematics
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within adaptive manufacturing systems What you bring to the table Enrollment in Mathematics, Computer Science, Data Science or a related discipline Solid knowledge of Probability Theory, Linear Algebra
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science and industry. With the Open Research Knowledge Graph (ORKG ), we are working to revolutionise the exchange and use of scientific knowledge in the digital age. The Technische Informationsbibliothek