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Field
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research is essential, and experience working with electronic health records, microbiology, or machine learning would be very welcome. Applications from candidates who do not fulfil the essential criteria
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will play a leading role in the analysis of large and complex genetic and electronic health records datasets with a range of Statistical and Machine Learning approaches, whilst leading a broad range of
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, lubrication and wetting, biophysics as well as machine learning or metamaterials. For experimentalists, we particularly interested in applicants aligned with our existing research infrastructure and
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research plans of the candidate), in visualization and data analysis, cooperative systems, data mining and machine learning, education, didactics and entertainment computing, or Neuroinformatics. Across
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of research in applied statistics or actuarial data science - which may also include machine learning, financial risk and climate change risk - as demonstrated through publications, citations, external
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The Vietnamese-German University (VGU) is seeking a highly qualified full-time lecturer in Cloud Computing and Data Analytics. Candidates must hold a PhD in this field or a closely related field and
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to the Faculty Council, Academic Senate and/or other bodies. Qualification Candidates must hold a PhD in Computer Sciences, Computer Engineering or a closely related field, preferably from a well-known
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required for explanation. This PhD project will focus on the neurosymbolic intersection by treating LLMs as conjecture machines that generate candidate explanations for complex problems, and by developing
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research experience in using mathematical Machine Learning and AI methods, or applied mathematics, to solve challenging problems. Your research will have potential for real-world application in areas
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Applied AI for Engineering, Robotics and Automation, Computer Engineering, and Electrical and Electronics Engineering. The successful candidate will contribute across the School of Engineering but will play