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extended to its full duration. Preferred Qualifications Experimental skills in batteries and power electronics, as demonstrated by application materials. Knowledge of machine learning, as demonstrated by
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materials. * You have familiarity with artificial intelligence (AI) and machine learning (ML) methodologies and interested in advancing these tools for accelerating the analysis of the big data acquired by
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analysis, and MATLAB-based simulations enhanced by Bayesian Machine Learning. The ideal candidate should have a strong background in cell culture, and lipid metabolism, with experience in mass spectrometry
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, enhanced by machine-learning and data-driven analysis techniques. Additionally, the study will encompass electrically triggered events that mimic the voltage-based signaling of biological synapses
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for 2 years. You will lead a research team working on the application of software (AI/machine learning techniques), to improve the efficiency of advanced hardware and integrated circuit design. This role
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in the University of Minnesota. The research will focus on applying, developing and implementing novel statistical methods for causal inference, integrative data analysis or/and machine/deep learning
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, fixed term period for 2 years. This role will help establish a research programme in statistical, data-science, and/or machine-learning approaches to stellar and exoplanetary physics, broadly interpreted
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, on the topic of infrastructure resilience, which may include functionality, virtual testbeds, the community capitals framework, social equity and/or social vulnerability utilizing network modeling, machine
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physics data analysis, and potentially including machine learning training and/or development, detector design, upgrade work, service work, development and operation, event simulation, potentially other CMS
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excellent verbal and written communication skills, attention to detail, and demonstrated computer efficiency. In addition, the candidate should have strong organizational skills, the ability to successfully