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Field
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not have exceeded two years previous work at the postdoctoral level at start of appointment. Coding experience in a scientific computing language is desirable (e.g., Python, MATLAB, R, IDL, Fortran, etc
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should have experience of working with computational and analytical techniques in the areas of natural language processing (including, among others, topic modelling), computational linguistics, and machine
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industrial partners. The working language is English, and we pride ourselves on a diverse, inclusive, and inspiring workplace that fosters personal and professional growth. What we expect We are looking for a
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. · Familiarity with data analysis pipelines within R or similar computational language. · Strong writing and oral communication skills. · Excellent analytical thinking and creative troubleshooting skills
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training, health day with various offers), discounted sports offers from the Dresden University Sports Center, job-related further training opportunities and language courses, Company restaurant with a
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, delivering tested methods, and creating algorithms to expand MMFM capabilities across domains like cardiology, geo-intelligence, and language communication. The postholder will help lead a project work package
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previous work at the postdoctoral level at start of appointment. Coding experience in a scientific computing language is desirable (e.g., Python, MATLAB, R, IDL, Fortran, etc.) The candidate should have an
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Ref.: 532565 Work type: Full-time Department: School of English (04300) Categories: Senior Research Staff & Post-doctoral Fellow, Research Staff Applications are invited for appointment as Post-doctoral Fellow in Experimental Phonetics in the School of English (Ref.: 532565), to commence as soon...
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the "My Cover Letters and Attachments" section. Example language: This position requires that you attach LIST ATTACHMENT TYPES SUCH AS: a sample of scholarly work, a diversity statement, and a list of
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understanding of artificial intelligence applications and methodologies, such as working knowledge of generative AI tools, use of large language models, machine learning, and ethical frameworks for AI