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of Computer Science and Information Systems. Candidates with expertise in Software Engineering and Artificial Intelligence (AI) are especially encouraged to apply. PFW is the largest university in northeast Indiana
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of the university’s largest schools, with a rapidly expanding teaching and research portfolio. The School is at the forefront of emerging fields, including Artificial Intelligence, Machine Learning, Quantum
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collaborators The Machine Learning for Integrative Genomics team (https://research.pasteur.fr/en/team/machine-learning-for-integrative - genomics/) at Institut Pasteur, led by Laura Cantini, works at
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research on teaching quality. Possible areas of research focus, which should follow the paradigm of use-inspired basic research, include the topics of cognitive activation, artificial intelligence and
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Fundamentals of Advertising Global Media in the Digital Era Global Promotion and Branding Human-AI Communication Workshop Interactive Digital Communication Internet Communication Introduction to Artificial
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Functional Theory (DFT) Familiarity with artificial intelligence methods Good knowledge of electronic structure methods Experience with Linux, Git and related tools Knowledge in the field of high-performance
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-supervisors, as well as with other doctoral students and postdocs in the supervisors’ lab. Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological
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of the models. Eligibility criteria Requirements for the position: A Master’s degree or equivalent in computer science, artificial intelligence, computational science, or a related field. Documented expertise in
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the successful candidate will be responsible for delivering Artificial Intelligence teaching in Materials, Structures and/or Manufacturing for the CDT as well as contributing more generally to teaching on
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) Translation and Artificial Intelligence (including translation and interpreting technologies, machine learning, and AI applications in translation) Translation and Cultural Studies (including digital humanities