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Field
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electrical interfaces. Integration and deployment of an existing ML model (e.g., as a Python module, API, or embedded system) Validation of the solution in a prototype test environment Documentation and
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, R, Python, or similar programming languages Basic standard coding of survey experiments, e.g., using Qualtrics, Otree Learning to use AI-Assistants and LLMs for research purposes, e.g., Deep Research
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Master's thesis on the development of a forecasting tool using AI in the field of welding technology
Studies in Computational Engineering, Materials Science, Engineering, or comparable (Bachelor's/Master's) Programming skills, preferably in Python Interest in modern manufacturing technologies and welding
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, empwering personalized medicine in psychiatry. Experience in quantitative genetics and/or deep neural networks, R/Python/PyTorch/Tensorflow etc. is desirable. Apply now via our career portal until 19.11.2025
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methods Good language skills in English and German. The following qualifications and skills are desirable: Experience in Python programming Experience with analog and digital electronics. You may expect a
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to solve problems in a scientific context using data Strong coding skills for data analysis and visualization (for instance in python) are an asset. Previous experience in carbon removal, climate policy
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informatics, or a comparable degree program for at least two more semesters You have advanced knowledge of C You have basic knowledge of Python and RUST An understanding of networks and telecommunications
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of programming languages (e.g., Python or R) We offer: • An exciting and highly topical research project • Supportive working atmosphere in an international research team • Collaboration with national and
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atmospheric water cycle. Experience in data analysis using Python, R, or a comparable programming language, as well as in statistics. Fluency in English and the ability to work in a team. For further
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production projects What you bring to the table You are studying mechanical engineering, computer science, electrical engineering or a comparable subject A solid background in Python, C#, JavaScript or various