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Field
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Description The Engineering Fellowship Program at Kempner Institute at Harvard University offers a structured opportunity for recent graduates (fellows) to further their experience in AI/ML engineering. The
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several hundred nodes, various types of servers, storage systems for multi-terabyte databases, backup system and specialized networks that enable research programs whose per annum budgets are in the tens
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to track and manage multiple technical artifacts and tasks in parallel; Demonstrated commitment to security, integrity, and ethics, including the ability to properly handle personal, confidential, and
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Software testing Algorithm development Advanced programming topics (graphics, AI, compiler, parallel programming) Web development Educational Requirements: Master's degree in computer science or relevant
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training materials; Demonstrated organizational skills working in a multi-tasking environment and the capacity to track and manage multiple technical artifacts and tasks in parallel; Demonstrated commitment
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simultaneous recordings and stimulation from multiple, interconnected brain regions. The researcher will gain experience with the use of laminar/neuropixel probes and electrical microstimulation to study
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, device management, and networking operations. Professional Competencies • Strong interpersonal skills with ability to deliver customer service. • Ability to perform multiple tasks in parallel, with
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excellence in all areas, the college offers a variety of occupational, technical, and university-parallel transfer programs. SVCC is committed to offering a world-class education in an actively supportive
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, MATLAB, Git, debugging, and modern software engineering practices. Experience with GPU computing (e.g., CUDA, HIP), parallel computing (e.g., MPI, Actor Model). Familiarity with containerization (e.g
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media, news media, digital signage, podcast, signature events, and executive presentations. This candidate must be comfortable managing multiple projects in parallel, many of which require the execution