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part of the Green Algorithms Initiative in the Department of Public Health and Primary Care, one of Europe's leading academic departments of population health sciences. The post will suit researchers
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acquisition of a range of environmental and operational data in the digitisation of food manufacturing processes for processing using applied AI techniques. We anticipate the successful applicant will develop
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animals, while Prof Durbin's works on computational genomics and large scale genome science, including the development of new algorithms and statistical methods to study genome evolution. Moving forward
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to collaborate with industry partners, publish in top-tier journals, and develop innovative methodologies for real-world challenges in supply chain and operations. Key Responsibilities • Develop and apply
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Post doc position in theory of machine learning at Department of Computer Science, Aarhus University
is on understanding and improving the performance of classic learning algorithms, in particular Boosting and Bagging, both in terms of speed and generalization capabilities. The project also allows
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motors and braking technology, high-torque density axial flux electrical motors, development of servo controllers and algorithms, and special electrical machines such as superconducting electrical motors
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: 11218 General Description: This position involves computer programming and algorithmic development in support of the research project Create a Job Alert for Similar Jobs Logo About Illinois Institute
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the development and application electronic structure calculations is essential. Desired Qualifications: • Experience in the following areas: – Design of accurate many-body force fields, – Implementation
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of peptide design and chemistry, computational methods (machine learning, deep learning, genetic algorithms), microbiology, synthetic biology, and related areas essential to developing novel
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Applications are invited for a Senior Researcher to work with a team working with Professor Sir Aziz Sheikh on a research programme that involves research into developing risk prediction algorithms