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processes. Areas such as memory, attention, perception, problem solving, language, emotion, and decision making are considered. Clinical applications are emphasized throughout the course. (PRP705
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missions. What You Will Need PhD or EdD in science (including social sciences), engineering, communications, journalism, English, education, business or another relevant field OR equivalent combination
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missions. What You Will Need PhD or EdD in science (including social sciences), engineering, communications, journalism, English, education, business or another relevant field OR equivalent combination
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the foundational questions and interdisciplinary nature of the PPLE program Three academic references When writing the Cover Letter, please review our mission and identity webpage at: https://www.ufv.es/welcome
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contributions in both: (1) an aspect of data science vital to the design or implementation of public policy, including machine learning, artificial intelligence, natural language processing, network analysis
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at Chalmers here . Application procedure The application should be written in English and attached as PDF-files, as below. Maximum size for each file is 40 MB. Please note that the system does not support Zip
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Intelligence (AI). We especially welcome applicants with a strong track record in one of the following AI specialisms Natural Language Processing and Large Language Models, Distributed and Collective Artificial
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available to fill this position Your familiarity with programming languages (e.g. Stata, SAS, Matlab, ArcGIS) Your prior experience as a research assistant, in the private sector, and/or with independent
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which is documental in nature and the hiring of the Assistant Researcher will be conducted under the scope of the Portuguese Labour Code, approved by Law No 7/2009, of 12 February, in its current wording
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://imtatlantique.fillout.com/mscapf2026 Requirements Research FieldComputer scienceEducation LevelPhD or equivalent Skills/Qualifications Background: Conversational Agents, Natural Language Processing, Knowledge representation