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be preferred. Requirements: PhD degree in Learning Sciences, Educational Technology, Human-Computer Interaction (HCI), Information Technology, AI, or a relevant field Demonstrated experience and
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Science (DIHDS) and the Media and Innovation Laboratory (The MIL). The Manager applies advanced analytics, artificial intelligence, machine learning, predictive modeling, and related data-driven
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regulatory environment, and documenting insights that can inform Agency-wide AI governance and implementation efforts. You will apply machine learning methods and applied AI tools, including experience with
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the applicant could teach (both existing offerings and new courses). The accepted file formats are: CSV, DOC, DOCX, JPG, JPEG, PDF, PNG, XLS, XLSX. Files in other formats may not be readable and may not be
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statement highlighting how the applicant’s research experience will inform their teaching. Teaching and mentoring statement describing the upper-level lab and lecture courses the applicant could teach (both
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spectroscopy, LIBS and/or XRF, together with calibration, multimodal co-registration, data fusion and machine-learning methods.; The research will involve several main tasks:; • Underwater Sensor Development and
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to promote their success, and service to the institution. He or she will primarily teach lower-division courses such as general chemistry and organic chemistry, and possibly upper-division chemistry courses as
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, natural language processing, 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
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, such as statistical learning, causal inference, experimental design, probability, stochastic PDEs, algebraic statistics, normalizing flows, scientific machine learning, optimization, inverse problems
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, research institutes, industry, public agencies, and leading global institutions. We welcome motivated applicants in robotics, control, AI, machine learning, physics, and related fields, including early-stage