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workbench for chiplet assembly Generation of FE models for different chiplet configurations using the workflow Research and identification of suitable Python modules for Ansys FE modeling automation Use
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verification. Also, you will design and implement prototypes (C++/Python/MATLAB) and contribute to open-source tooling where appropriate. You will support teaching at Technical University of Munich. Salary and
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datasets (SQL, Python, R) Develop reproducible data pipelines and perform statistical analyses Visualize trends and outcomes in patient data Collaborate closely with clinicians, statisticians, and IT
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topics and projects with the following activities: Implementation of ML models for optimizing hedging strategies in Python Evaluation and comparison of different models (benchmarking) Supporting data
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of workflows in Python to optimize throughput, reproducibility, and data management. The overarching goal is to create a standardized and scalable platform that accel-erates discovery in stem cell biology and
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following profile. Be a part of our team and come on a journey of research and innovation! What you will do Implementation of algorithms for signal processing using Matlab and Python System-level behavioral
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science, physics, or a related field Basic knowledge of perovskite PV or semiconductor physics Initial experience in with an object-oriented programming language (e.g., Python, Matlab) Analytical and
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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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Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg | Magdeburg, Sachsen Anhalt | Germany | about 6 hours ago
particularly advantageous: Mathematical and kinetic modeling of metabolic networks Mathematical optimization (linear and mixed-integer (non-)linear programming) Programming experience in MATLAB and/or Python
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affect resource availability and infrastructure. This thesis will explore how disruptive scenarios impact renewable energy potentials across Germany, by combining Python-based GIS workflows with energy