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Field
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to the Senckenberg museums – annual special payment – collectively agreed vacation entitlement – company pension plan Senckenberg is committed to diversity. We benefit from the different expertise, perspectives and
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control. Your tasks also include the programming of systems. You relieve us in the construction of laboratory structures. You will work with us on sample preparation and data analysis. What you bring
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in Computer or Data Science, Mechanical Engineering, Mathematics, Physics, Electrical and Information Engineering, or a related field – very good programming skills in Python – interest in topics
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in Master's program in engineering, plant engineering, biomedical engineering, chemistry, or bioengineering Strong Interest in experimental and technical questions Good to very good academic
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background in automation; background in business administration or management studies is beneficial • Programming skills, especially IEC 61131-1 and a high-level programming language such as C#, Java
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localization module or implement standalone programs for pointcloud map manipulation. For testing the implementation, you will have access to both recorded data and regular real-life testing with our CURT robots
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of courses. It is integrated into the faculty’s teaching program with two semester hours per week and includes the supervision of examinations and theses. Requirements: You must have a research profile in the
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Computer Science, Electrical Engineering, or a related field Strong programming skills, particularly in Python Experience with AI technologies, including LLMs, RAGs, and Agents (e.g., LangChain) Experience
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the Bachelor's and Master's degree programs. As the University of Oldenburg and the University of Bremen are bound by a cooperation agreement, active participation in the cooperation is expected. Prerequisites
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or cognitive science or related Programming skills, particularly in Python (including interface integration) Experience with handling LLMs (e.g., GPT-4) and their API interface Basic knowledge in Natural