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; EPSRC Centre for Doctoral Training in Green Industrial Futures | Bath, England | United Kingdom | 14 days ago
. Integrate Pyrolysis and Curation: Build a combined model to optimize energy consumption and assess the effects of pyrolysis parameters on biochar quality, curation rate, drying behaviour, and material
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to the above requirements • Strong background in optimization and partial differential equations • Strong background in numerical mathematics and computing • Machine learning skills are welcome • English skills
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, -- mathematical theory for artificial intelligence, -- optimization and numerical computation over manifold, -- systems and control theory, -- algebraic computation theory and cryptography. The position is for two
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the ESA website: http://www.esa.int Field(s) of activity for the internship Topic of the internship: Optimization of data handling processes within the Space Medicine Team The Space Medicine Team (HRE-HM
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results from numerical and machine learning work to support the optimal deployment of the new sensors and their applications. Support field experiments with the new sensing technology in collaboration with
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after memory is established. ? Numerical analysis of complex data sets to evaluate the neural representation of information in the physiological recordings above. ? Collaboration
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Fàbregas. The project studies the fundamental limits of channels and sources where the optimal number of messages scales sub-exponentially with the length, concentration laws for random coding, sub-optimal
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weather and climate observations, numerical models, and decision support tools focused on atmospheric and land-surface conditions related to extreme events and their impacts. CW3E is an interface between
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University of British Columbia | Northern British Columbia Fort Nelson, British Columbia | Canada | 18 days ago
on developing mathematical models and control theory tools to support sustainable fisheries management. The project will optimize fishing practices to reduce ecological impacts, providing actionable insights
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unwanted effects from so-called concomitant gradient fields. You will also develop software to facilitate experimental design. This includes numerical optimization of the instructions that control the MRI