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Computational Science Center (CSC) is seeking a motivated and independent graduate assistant for their Public Interest Technology (PIT) Initiatives. Public Interest Technology encompasses the study and
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independently and collaboratively as part of a team. To Qualify Must be currently enrolled in a graduate-level program. Preference will be given to graduate students in a PhD program with prior teaching and
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pressure, and can manage multiple high-priority projects at once. They will have experience navigating complex institutional, public-sector, or similarly high-stakes environments. Job Description: This role
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appointment may include work performed outside of the classroom, including course preparation, attendance at meetings, course assessment, grading assignments and exams, as well as the resolution of incomplete
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to emergent topics in higher learning (e.g., curiosity) Perform administrative tasks related to project management and documentation. Participate in team meetings, planning sessions, and be available
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functioning as part of a team Qualifications: Ph.D degree in Chemistry or Biochemistry (or a masters degree in chemistry or biochemistry with 3 years of full time relevant research experience) Experience with
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Management Performs key tasks in and relating to the EMS scheduling platform, including running reports, creating accounts, making updates in the system and other work required to optimize its functionality
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simultaneously. Excellent interpersonal, written, and oral communication skills. Required Qualification Summary Bachelor's degree Enrollment in a Graduate Degree program Competencies in one or more of the
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supervision of the Facilities Services Custodial Shift Supervisor (or supervision of a Manager in a higher classification), the Custodian shall be responsible for the performance of custodial cleaning duties
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If you are a current Barnard College employee, please use the internal career site to apply for this position. Job: Research Assistant Job Description: Research Assistants (RAs) will be responsible for evaluating and correcting the output of Large Language Models (LLMs) on appellate decision...