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software (e.g., LLM agents for finding and fixing bugs) Static and dynamic program analysis (e.g., to infer specifications) Test input generation (e.g., to compare the behavior of old and new code via
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of machine learning or quantum computing Programming skills in Python and/or C/C++ Experience with scientific software tools and numerical libraries Familiarity with Linux-based computing environments Ability
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profile An excellent university degree (Master's, Diploma, or equivalent) in Computer Science or a related technical field (e.g., Interactive Media Systems, Virtual Reality Development, Software Engineering
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systems engineering approaches. The Institute for Software and Systems Engineering (ISSE) is one of the two computer science institutes at TU Clausthal, hosting several research groups. For more information
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these results with complementary techniques such as TEM or SEM Data Analysis and Interpretation: analyze experimental data using appropriate methods and software interpret the results in the context of refining
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Mobility (IAM), considering ecological, economic, technological, and sociological factors. The RTG's structured PhD program aims to train young researchers in highly automated, networked mobility, featuring
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profile: Successful degree (Master's, Diploma) in the field of computer science, software systems engineering, digital technologies or comparable qualification Openness to varied and exciting topics and
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and scientific work by students Your profile: Successful degree (Master's, Diploma) in the field of computer science, software systems engineering, automation engineering, digital technologies
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of Europe’s biggest research centers and help us to shape change! Are you excited about working at the interface of natural and computer sciences? At the Institute of Bio- and Geosciences (IBG
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and economics (Diploma, Master) or engineering, environmental sciences, psychology, sociology or computer science; in-depth knowledge of sustainability assessment methods (e.g. Life Cycle Assessment