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Field
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. Experience with flow NMR, laboratory automation, instrumentation design, and/or instrument fabrication. Prior experience mentoring students, trainees, or junior researchers. Special Instructions to Applicants
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screening, and automated experimentation to accelerate materials discovery and optimization. The researcher will work across the groups of Prof. José Berrocal and Prof. Carla Casadevall at ICIQ and interact
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instrumentation. Experience with Python, model/API integration, retrieval-augmented generation, tool-using agents, scientific databases, and automated experimental platforms is highly desirable. The candidate is
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photonic integrated circuits. Perform experimental testing and characterization of integrated photonic devices and systems, including automated measurement and control setups. Contribute to the development
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
the theoretical foundations of data science and AI. Responsibilities: Conduct research on automated reasoning and proof checker, AI-assisted collaboration. Develop and analyze algorithms for learning and
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. Through this project, we aim to advance and accelerate the materials discovery and evaluation process by automating measurement equipment using robotic technology. Ultimately, we aim to build an “autonomous
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, joint UD-Penn NSF HAIC postdocs may be housed in the General Robotics, Automation, Sensing, and Perception (GRASP) Lab (https://grasp.upenn.edu) and the Wharton School (https://wharton.upenn.edu
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at the Department of Control and Automation Engineering (DECA) at the Sorocaba Campus of the São Paulo State University (UNESP). The position is open to both Brazilian and foreign nationals. Stipend: R$ 12,570.00
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research associate to advance the analysis, quality assurance, and calibration of automated pavement condition data and pavement performance modeling. The successful candidate will contribute to two
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We are seeking a postdoctoral associate in intersectional feminist Science and Technology Studies. Preferred focus areas: critical computing/artificial intelligence studies; labor and automation