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- When and where do we reach the limits of adaptation to riverine flood risk?”. You have experience in machine learning, programming and flood risk research. If so, we encourage you to apply! You will
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to provide an opportunity to develop technology transfer skills by working alongside a team of licensing professionals. The Licensing Associate will work closely with the Director of Licensing to learn all
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health Duration: 12 months, full-time post Where to apply Website http://www.ucc.ie/en/ Requirements Research FieldBiological sciences » OtherEducation LevelMaster Degree or equivalent Skills
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present your research at leading venues (CHI, TOCHI, JMIR, EHPS, Health Tech, etc.) Where to apply Website https://www.academictransfer.com/en/jobs/360012/phd-on-ai-driven-lifestyle-coac… Requirements
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reproducible analysis workflows Familiarity with computational models of vision and machine learning methods (for example CNNs, deep generative models, encoding models) is preferred but not required Ability
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https://www.universitiesaustralia.edu.au/university/rmit-university Why work at RMIT University Our people make everything at the University possible. We encourage new approaches to work and learning
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in dynamical systems modeling (ODEs) and machine learning and very strong programming skills (Java, Python). A background in evolutionary genomics research is a strong plus, as is previous experience
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EngD: Physics-based AI for Intelligent Machining: Learning, Optimisation, and Uncertainty in Next-Generation CAM Software (sponsored by DigitalCNC) EPSRC Centre for Doctoral Training in Machining
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: Alexandre José Malheiro Bernardino (ist13761) Organic Unit: Scientific Area of Systems, Decision and Control Scholarship Theme: Computational Auditory System Simulators and Machine Learning-based Optimisation
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Apply Now How to Apply As a single PDF document, please submit the following materials to Interfolio (https://apply.interfolio.com/184608 ): A cover letter that addresses your specific interest in