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Field
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Knowledge in the field of Machine Learning, including training, inference, and optimisation of transformer architectures Knowledge in the field of ML security is desirable. Good Python skills, especially with
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Transformers). Analysis of existing datasets. Evaluation of the trained models on suitable datasets. What you contribute Good knowledge in the field of machine learning and training neural networks. Good Python
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present. Evaluation of the trained models on suitable datasets. What you contribute Good knowledge in the field of machine learning and training neural networks. Good Python skills, preferably some
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, exercise data and scripts (e.g., Bash, Python); creating exercise sheets and model solutions; conducting user tests Compiling new forensic datasets: researching or creating images, videos and text corpora
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. Experience in careful, practical work in the laboratory is desirable. You have basic knowledge of solar cells and semiconductor physics and are already familiar with laser technologies. You have basic Python
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of software development (e.g., Java, C/C++, Python) and an interest in software security and AI Ideally, experience in areas such as static and dynamic program analysis, software engineering, or compiler
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• Proficiency in statistical or programming tools (e.g., R, Python) • Interest in education and learning as an application domain • Ability to work independently • Demonstrated academic writing
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learning • Programming skills (e.g., Python, R) • Interest in interdisciplinary research at the intersection of data analysis and learning sciences • Interest in education and learning as an
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with python programming, image processing, agent-based systems Ideally, good communication skills in both German and English You are enthusiastic about learning new practical skills, approach unfamiliar
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of electrical engineering, physics, microsystems technology or a similar subject knowledge in the field of (high frequency) electronics and semi-conductor components experience in programming with Python for data