11 condition-monitoring-machine-learning Postdoctoral positions at University of Cambridge
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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
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interactions in the condensed phase and at surfaces, with a particular emphasis on the development and application of first principles and/or machine learning approaches. Research in the Michaelides group
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machine learning tools and working on Linux High-Performance Computing platforms would be highly desirable. This is a highly collaborative role and you will work with scientists and clinicians from other
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modelling to study the causes and consequences of extreme chromosomal instability in these cancers. The role will involve: - Learning and applying cytogenetic methods for generation and analysis of chromosome
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lab members in advanced analysis techniques. The ideal candidate will have a strong research background in AI-driven human motion analysis, wearable robotics, and human-machine interaction. They should
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, especially the SOCRATES code, is highly desirable. Experience interpreting large model datasets or observational datasets using software such as Python, R or Matlab and experience running computer code on HPC
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and Content Learning: Addressing Sociolinguistic Diversity in India's primary schools', a project that investigates the role of alternative multilingual assessment tools for underprivileged learners in
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connectomics data is desirable but not essential. The successful candidate will join a team based in Zoology with 10 team members, carrying out data processing and analysis on computer-assisted neuronal
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lab investigates systems neuroscience questions, specifically the role of cortico-subcortical loops in statistical learning. We focus on the auditory system and perform awake/asleep electrophysiology
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work on large-scale understanding of coastal wetlands - primarily mangrove forests and tidal marshes. This will include mapping and modelling of distribution, value, condition, and opportunities