312 algorithm-development-"Multiple"-"Embry-Riddle-Aeronautical-University" positions at University of Cambridge
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The Sustainable Innovation Lab (SIL) at the Centre for Human-Inspired Artificial Intelligence (CHIA) is seeking a part time (0.8 FTE) full-stack software engineer assistant experienced with both
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The Faculty of History and Christ's College invite applications for a three-year fixed term Fellowship, as part of the Isaac Newton Trust's Academic Career Development Fellowship programme. The
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Supporting Magdalene Alumni Events and Reunions Alumni Groups College Merchandise Publications Careers Directory Alumni and Development Team Keep Us Updated The Pepys Restoration Project In 2024, we marked 300
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Cambridge Judge Business School (CJBS) is seeking a talented Senior Software Developer to join our small, dynamic development team. In this role, you will be instrumental in designing and developing
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to Research Associate (Grade 7) upon the award of PhD. The cellular dynamics of the plant hormones underpin all aspects of plant development and environmental responses. Targeted perturbations of phytohormones
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) uses principles from systems neuroscience to develop reliable, low-power spiking neural networks and learning algorithms for implementation in a new generation of neuromorphic hardware. Both projects
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developments such as novel algorithms to support logistics operations, novel automation approaches or the design and development of new digital support tools for logistics providers. Significant flexibility
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. Initial analysis suggests recurrent selection of divergent types in multiple locations. The aim of this role is to complete this analysis and prepare a manuscript for submission for publication
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(Biochemistry, Neuroscience) MSc degree (or equivalent) in Epidemiology, Biostatistics, Data Science or related discipline. Strong quantitative analysis skills and experience developing algorithms and/or
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, at the University of Cambridge, UK. The Research Assistant will work together with a team of students and research collaborators on the development of learning-based control policies that facilitate