Sort by
Refine Your Search
-
, computer vision, remote sensing/satellite imagery, social network analysis, social media analysis, and machine learning. An active research agenda with a record of, or clear potential for, publication in
-
analysis, textual analysis, automated content analysis, natural language processing, computer vision, remote sensing/satellite imagery, social network analysis, social media analysis, and machine learning
-
citizen and role model. Minimum Knowledge, Skills & Experience Ph.D. in fields related to biopsychology or neuroscience. Candidates with an MD in Psychiatry, or research experience in machine learning
-
, or research experience in machine learning applications in neurological and psychiatric disorders are encouraged to apply. Relevant full-time university teaching experience in research, higher education, or
-
Support GU-Q offers a rich academic setting supported by strong institutional resources to enable excellence in teaching and research. Faculty typically teach two courses (or 6 credit hours) per semester (a
-
. The ability to teach linear algebra is preferred but not required. Academic Environment and Faculty Support GU-Q offers a rich academic setting supported by strong institutional resources to enable excellence
-
Ph.D. in the natural or life sciences, or a closely related field. The ability to teach undergraduate courses in environmental science, including foundational courses on environmental systems, climate
-
discipline. We are open to a variety of methodological approaches; the ability to teach undergraduate courses in environmental health, climate and health, environmental epidemiology, and environmental research
-
(CULP) major and to the BSFS core curriculum and must be able to teach a course in Political and Social Thought. Qualifications Successful candidates will hold a Ph.D. in philosophy, or a closely related
-
skill-based courses (e.g., Academic Writing) and in leading co-curricular and experiential learning activities that support French language development. Familiarity with the Common European Framework