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tunnelling FET. Qualifications • PhD degree • Strong communication skills, motivation in scientific research, and experience in writing scientific papers are required. • Recent Ph.D. or postdocs with
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strong background in relevant areas. Key Responsibilities: To independently undertake research in computer vision and machine learning. To produce research reports and/or publications as required by
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Informatics and edge intelligence etc. Must have documented significant Knowledge/Research Background, or Must be able to demonstrate skills on Data Analytics and Machine Learning, in particular on distributed
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effectively exploited, possibly using some kind of machine learning algorithm, provides more accurate data than traditional data collection methods, e.g. paper-based surveys. This data is valuable to several
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, and courses, and it publishes the Baltic Worlds journal. The research centre has professors, visiting researchers, postdocs, doctoral students and research coordinators. The working language at CBEES is
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, and sub-daily to evolutionary time scales. One of the goals of the SCINet Initiative is to develop and apply new technologies, including AI and machine learning (ML), to help solve complex agricultural
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Microsoft Cloud Civil Liberties & Health Policy Research Fellow - Law Cordell institute for Policy i
on being a postdoc at WashU in St. Louis can be found at https://postdoc.wustl.edu/prospective-postdocs-2/ . The Fellow will train under the supervision of Institute leadership and faculty mentors
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: To independently undertake research in machine learning. To produce research reports and/or publications as required by the funding body or for dissemination to the wider academic community. To provide guidance and
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 16 hours ago
interest in mental health, suicide prevention, health professions training, and/or military health, as demonstrated through any or all of the following: A record of scholarly publication and presentation in
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artificial intelligence and machine learning (AI/ML) models that predict therapeutic response, identify clinically actionable patient subgroups, and support personalized treatment strategies. Through