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in finite element modeling with Ansys Mechanical, APDL, and Discovery. You possess very good programming skills in Python. You work independently and in a structured manner. You are reliable, flexible
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to molecular mechanism. New experimental and computational methods, including data and deep-learning driven approaches to study complex biological processes in the context of cells, organisms, communities and
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, computer science, mechanical engineering or electrical engineering Ideally, you have already gained some programming experience with Python and have already tried your hand at data science You may even have used
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transfer. Its current five-year scientific programme, Molecules to Ecosystems (2022–2026), aims to deepen our understanding of life — from molecular mechanisms to complex ecosystems — with a strong emphasis
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thesis is to systematically evaluate the functionality of such an automated feedback loop for the first time. Tasks: Systematic literature analysis on feedback mechanisms and quality metrics for LLM-based
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Announcement for fields of study such as: Automation technology, computer science, cybernetics, mechanical engineering, mechatronics, control engineering, technical computer science, technology
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will use methods such as light microscopy and spectroscopy and reliably document your results What you bring to the table You are completing your studies in mechanical engineering, materials science
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Master's student in physics, mechanical engineering, materials science or a comparable degree programme and have a connection to software development. You are characterised by an independent and
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to physical mechanisms of grain growth. Key responsibilities include: Implementing and optimizing segmentation pipelines based on MatSAM and other vision foundation models for high-resolution TEM video frames
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scenarios for tool wear detection and measurement What you bring to the table You are studying production engineering, mechanical engineering, or a comparable subject Initial programming (python) and Machine