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skills in C++, particularly for CFD code development. Basic understanding of structural dynamics in turbomachinery. Experience of working in collaborative or interdisciplinary research environments. Main
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experience coding questionnaire data experience of collaboration with research group in neurobiology/psychology proficiency in Microsoft Excel & Word, Adobe and Photoshop It is advantageous if you have
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. Moreover, knowledge and hands-on skills of reasoning and detecting cybersecurity threat data is also needed. Extensive coding expertise within Python, C/C++, and/or any data science tool is also needed
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. Exceptions from the 3-year limit can be made for longer periods resulting from parental leave, sick leave or military service. What you will do 1. Develop and implement group-theory-based codes to identify
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and developing (generative) AI to improve software development processes as well as the quality of software artefacts (e.g., code or designs). We are, therefore, looking for a candidate with experience
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circumstances, the doctoral degree can have been completed earlier. Additional requirements: Very good oral and written proficiency in English. Documented experience with coding for data analysis and
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empirically validate how GenAI agents can assist software developers in tasks such as code generation, documentation, optimization, and human-AI interaction workflows. As a postdoctoral researcher, you will be
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. -Machine learning code generation for autonomous translation of payload data semantics. -Dictionary learning and algorithms for translation between major data modeling languages. -Model-based System
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collaboration with the group led by Asst. Prof. Gina Panopoulou. This includes code development, analysis and interpretation of data, writing manuscripts for publication and presenting work at relevant
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control, management, and archival storage; analyzing large-scale datasets, developing code, and creating novel tools and methods for advanced data analysis; supporting ongoing research activities