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Field
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must reside within 150 miles of Berkeley Lab. Work schedules are dependent on business needs. Union Represented: This position is represented by a union for collective bargaining purposes. Want to learn
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development and distributed sensor networks, climate modeling, and Artificial Intelligence/Machine Learning. The position also offers meaningful engagement with academic, industry, farming communities and
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week of collective closure between Christmas and New Year. You will receive an internet connectivity allowance and a bicycle allowance or a full reimbursement of public transport costs for commuting
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concepts and communicate the results of your research, both orally and in writing such as scientific articles and reports. Actively collecting researchers and practitioners within academia and with society
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. Responsibilities include: Coordinate implementation efforts with a team of chemical engineering faculty excited to transform the content, assessment, and pedagogy within the R.F. Smith School. Collect and analyze
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and intelligent vision systems, including efficient learning and inference of complex AI/ML algorithms, specialized neural processing hardware and design tools, and ML security, and their applications
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research, including data collection analysis, and interpretation preferred. Strong oral and written communication skills. Ability to work independently and collaboratively within a research team. Application
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consistently rank among the top engineering programs by US News and World Report. The Civil and Environmental Engineering Department of Carnegie Mellon University is seeking a Post-doctoral Researcher or
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design, implementation, and data collection across laboratory, greenhouse, controlled-environment, and field research systems – 50% Seed coating formulation, treatment evaluation, and analytical
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research program in Artificial Intelligence (AI) and Mathematics. This position involves applying machine learning tools, particularly reinforcement learning (RL), to address complex research-level