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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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infrastructure, and supply chains. Extract, process, validate, and visualize data using MS Office and/or Python. What you bring to the table You are a registered student in the following subjects in natural
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background to support us in further developing Heatopia (written in Python) as well as conducting case studies with the software. The position of student research assistant is based at our site in Cottbus
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in machine learning, AI and programming skills, e.g. Python basic knowledge of materials science / materials engineering Leibniz-IWT is a certified family-friendly research institute and actively
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related field. Demonstrated expertise in analyzing high-throughput sequencing data and developing bioinformatics tools. Proficiency in programming languages such as Python or R, and experience with relevant
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using the programming language Fortran. Experience or willingness to run numerical models on parallelized supercomputers. Experience in the analysis of model output using Python or a similar high-level
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in Python with knowledge of NumPy, Pandas, SQL, Bash, Docker, git, etc. Willingness to clean large, messy datasets Excitement about clean, structured code Conscientiousness in implementing, testing
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programming • Interest in geoscience and exploitation of data • Knowledge of hosting services like GitLab • Knowledge in Python, FORTRAN, MATLAB, HTML, or similar. Experience with Typo-3 is appreciated
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way and integrate a large number of different sensors. The data evaluation and modeling of the process will then take place in Python. This involves, for example, the construction of modular systems