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deployment Collaborate with interdisciplinary partners and optionally contribute to teaching and supervision Your profile: PhD or strong Master’s degree in computer science, data science, software engineering
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experience “only” is not enough · Use of LLMs in software engineering · Software language engineering (e.g. grammars, parsers…) · Conducting and publishing research in this field
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staff with excellent interdisciplinary knowledge and specialized, state-of-the-art expertise in software engineering, computer visualization, and data science. As a faculty member, the applicant is
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and data management communities, and will entail working in tandem with a software engineering and data management team based at the Mary Lyon Centre in Oxford. Successful applicants will join an
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Intelligence) is being expanded into a leading German AI competence center for Big Data and Artificial Intelligence (AI). For TUD Dresden University of Technology diversity is an essential feature and a quality
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interdisciplinary project. The opportunity to engage with world-class researchers, software engineers, and AI/ML experts, contribute to impactful science, and be part of a dynamic community committed to advancing
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successes may include, for example, those in the fields of research, teaching, science and society, knowledge and technology transfer, inventions and patents, software development or spin-offs. The position
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biology, biophysics, bioengineering, optical engineering) or an advanced degree with substantial professional experience in advanced light microscopy. Candidates without a PhD, but with an advanced degree
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well as research assistants Qualifications PhD in biotechnology, biochemistry, biology, chemistry, biophysics, or related area Experience with molecular biology and protein engineering Experience with assay
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ICT Services & Applications. Your role We offer a fully funded PhD student position within the Trustworthy Software Engineering (TruX) Research Group headed by Prof. Dr. Tegawendé F. Bissyandé