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Field
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, physical layer design, machine learning, and their applications to wireless communications. The successful candidate will also contribute to the formulation and submission of high-quality research
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at industry-facing events. Strong technical and scientific knowledge in machine learning, preferably with experience in large language models (LLMs). Solid foundations in mathematics and engineering
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research experience in using mathematical Machine Learning and AI methods, or applied mathematics, to solve challenging problems. Your research will have potential for real-world application in areas
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regenerative medicine, biosensing, and therapeutics. Learn more at www.stevensgroup.org . This post is available from October 2025 for a fixed-term of 18 months, with the possibility of part-time appointments
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Subject areas of particular interest may include: Machine and Deep Learning Data Visualisation Generative AI and LLMs Programming (Python, R, SQL) Databases and IoT Applied Statistical Methods You will also
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centres. At Cambridge, our mission is to contribute to society through world-class education, learning, and research. With a deep respect for tradition and a bold vision for the future, we continue to shape
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social research in sociology such as causal inference or machine learning or complex panel data analysis. We are seeking excellent applicants with an international research portfolio and network
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. Interests could include geological field-based methods and big data applications and machine learning methods. Research focus will be on feedback processes between erosion, sedimentation, tectonics and
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contexts. They will be expected to contribute to the effective delivery of teaching, learning, and student support by: Delivering and evaluating classroom and practical teaching across modules Designing and
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an array of relevant teaching topics Enthusiasm to participating in both curricular and extracurricular activities Subject areas of particular interest may include: Machine and Deep Learning Data