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track trigger. The successful candidate will actively engage in searches for long-lived particles with displaced vertices and contribute to one of the HL-LHC upgrade projects at Cornell University with
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extant tutoring data Experimental/quasi-experimental design and analysis of effective tutoring moves that promote student motivation, engagement, and learning Development and evaluation of approaches to AI
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results through peer-reviewed papers and conference presentations. Assist in preparing grant applications to advance technology development for the assigned project. Training/supervision (10%) – Teaching
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results through peer-reviewed papers and conference presentations. Assist in preparing grant applications to advance technology development for the assigned project. Training/supervision (10%) – Teaching
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applicants who can conduct research with multidisciplinary teams—especially those eager to collaborate with faculty in the social sciences and humanities. The candidate will be expected to work on projects
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sciences and humanities. The candidate will be expected to work on projects with faculty, graduate students, and undergraduates from across the university, as well as with community partners. This position
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sciences and humanities. The candidate will be expected to work on projects with faculty, graduate students, and undergraduates from across the university, as well as with community partners. This position
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: Prior relevant work or industry experience. Education level to the extent education is relevant to the position. Academic Discipline Unique applicable skills. Employment Assistance: For general questions
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or evaluating methodologies for cleaning, annotating, and privacy-protecting student tutoring data to promote actionable insights at scale from extant tutoring data Experimental/quasi-experimental design and
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is flexible, accommodating the availability of the successful candidate. Salary conforms to the Cornell University standard. Employment Assistance: For specific questions about the position