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coupled discharges employed in plasma processing, coupled with a proven track record of kinetic modeling of such discharges. The candidate should be familiar with machine-learning principles for science
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might include, for example, the public policy implications of data storage and mining, machine learning and public health, modeling of legislative behavior, surveillance and data privacy policy
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research and model development for Artificial Intelligence, especially multi-agent systems and NLP. Experience in prototypes and intelligent tools development. Evidence of developing Machine Learning and
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and the use of artificial intelligence such as pattern recognition and machine learning techniques. Demonstrated experience with the development and management of large energy data sets is desirable
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. Responsibilities include querying databases, data processing, supervised and unsupervised machine learning, deploying production models, and communication of scientific findings via peer-reviewed publications and
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, including high throughput experimentation to generate novel types of organic reaction datasets and the development of adapted machine learning models. This role is ideal for a Ph.D.-level scientist with
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: Experience with machine learning, data inference, or image analysis. Strong oral and written communication skills and proficiency in data documentation and presentation. Ability to mentor and provide guidance
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and cutting-edge machine learning models. Our vision is to transform our understanding of gene regulation and unlock new frontiers in synthetic biology, drug discovery, and personalized medicine through
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-heuristics; economic paradigms (game theory, mechanism design, electronic markets); agent modeling and simulation; agent planning, scheduling and decision support; agent learning and adaptation; reinforcement
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well as applications of multi-level modeling, machine learning, and/or AI for clinical prediction and estimation of novel dynamic phenotypes related to brain health and disease risk. The Data Analyst will report to