Sort by
Refine Your Search
-
. Coordinates daily operations of front-line library services, including borrowing transactions, information assistance, stacks maintenance, equipment use, data collection, building operations, and student
-
Position: Online Course Developer: Foundations of Applied Data Science and Decision Analytics Location: Remote (U.S.-based only) Division: Rabb School of Continuing Studies, Brandeis University
-
, and applied assignments and assessments aligned to course and program outcomes. The Developer is responsible for the substantive content and pedagogical strategies of the course and agrees to uphold
-
engineering, fine-tuning, evaluation metrics, hallucination mitigation, and responsible deployment practices. Responsibilities: The development of an online asynchronous course entails the creation and/or
-
knowledge, learning objects, and applied assignments and assessments aligned to course and program outcomes. The Developer is responsible for the substantive content and pedagogical strategies of the course
-
-compliant syllabus, instructor-created materials informed by current industry knowledge, learning objects, and applied assignments and assessments aligned to course and program outcomes. The Developer is
-
a Brandeis-compliant syllabus, instructor-created materials informed by current industry knowledge, learning objects, and applied assignments and assessments aligned to course and program outcomes
-
, instructor-created materials informed by current industry knowledge, learning objects, and applied assignments and assessments aligned to course and program outcomes. The Developer is responsible
-
Temporary Online Course Developer – RITM 105 Enterprise Cloud Architecture & Scalable Systems Design
knowledge, learning objects, and applied assignments and assessments aligned to course and program outcomes. The Developer is responsible for the substantive content and pedagogical strategies of the course
-
relevance. This course includes an examination of Large Language Models (LLMs) and generative artificial intelligence (AI) for clinical support: pilot design, prompt engineering, validation, safety