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for the PhD admission is available at TalTech´s web-page: https://taltech.ee/en/phd-admission The following application documents should be sent to tarmo.soomere@taltech.ee CV Motivation letter Degree
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, or similar) will be valued; 9) Experience in machine learning techniques applied to materials science or process engineering (regression, classification, optimization, predictive models) will be valued; 10
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device health status through condition monitoring. AI techniques such as machine learning will be used to optimise gate driver performance and to map gate drive signal attributes to power device health
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, please visit: http://uhr.rutgers.edu/benefits/benefits-overview . Posting Summary The Rutgers School of Nursing invites applications for a faculty position that will be jointly appointed with Rutgers
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. This PhD will focus on uncertainty-aware machine learning models, developing and evaluating techniques (e.g., Bayesian and interval neural networks) to quantify model uncertainty and monitor it during
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novel manufacturing techniques is the key to improved heat transfer mechanisms and more efficient use of energy. Approximately 25 colleagues work in the division, including 15 PhD students
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at the interface of machine learning, statistics, and live-cell biology. The position is co-supervised by Prof. Olivier Pertz (Cell Biology) and Prof. David Ginsbourger (Statistics), and the student will be equally
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, development of chemical process solutions for repurposing of electrodes, and integration of AI-based vision and active machine learning to optimize the efficiency of the process. Writing publications and
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Kepler University Linz (JKU). Check out the detailed announcement on our homepage: https://www.pro2future.at/phd-candidate-within-the-topic-ai-driven-software-instrumentation/ Where to apply E-mail jobs
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quantification in science, engineering, and machine learning. Your workplace You will be employed at the Division of Applied Mathematics in a welcoming and international work environment. The research group in