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Field
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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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, Mathematics, or a related field, and you possess a solid understanding of technical concepts. Programming Skills: You have initial experience in object-oriented programming, particularly with Python, and are
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into high-quality, reusable Python software packages. - Engaging in the full software engineering process, including refactoring, comprehensive testing to ensure code reliability, and creating clear
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. The platform enables automated behavioral analysis and supports researchers with valuable insights. What you will do Develop and maintain machine learning inference pipelines using Python and Docker Support
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(e.g., handling bacterial or fungal cultures) - Basic knowledge of antimicrobial or inhibition assays - Good data handling and data processing skills (e.g., in Excel and GraphPad Prism, Python etc
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: - Familiarity with working with quantitative data and ideally historical data sources - Knowledge of descriptive statistics and statistical software (e. g. R, stata, Python) - Interest in economic sociology and
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development of evaluation methods (e.g., in Python) Support in conducting experiments in the laboratory What you bring to the table Current studies in engineering, materials science, computer engineering, or a
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student with good grades in one of the following programs: Electric engineering, computer science, cognitive science, applied mathematics, physics, neuroscience or a related field A good command of Python
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(e.g. FRS, RIPS). Solid programming skills for analysis and simulation (C++, Python, ROOT, GEANT4, NPTool). Familiarity with experimental data analysis techniques including PID methods, and angular
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. g. R, stata, Python) - Interest in economic sociology and political economy in general and the sociology of insurance and climate change in particular - German skills (at least B1), English (C1