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Field
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Fusion21 Ltd are looking to recruit an individual with evidence of a strong grounding in MLOps Software Engineering who will work alongside a Machine Learning and AI (KTP Associate) to collaboratively
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Shifting the paradigm: machine-assisted scholarly digital editing Digital Humanities Institute PhD Research Project Self Funded Dr Isabella Magni Application Deadline: Applications accepted all year
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PhD student will expect to develop some experience in developing power systems models using a range of computer languages and tools (e.g. Python, MATLAB, OPNET, etc), ideally for applications involving
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system. The project and role sit within the Finance and Economics Programme which brings together leading experts in data science, machine learning, finance and the social sciences, from both academia and
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for 10-year full-time tenure track positions at all ranks in Computer Science to begin in Fall 2025. The successful candidate will be able to teach one of the undergraduate courses related to AI/ML
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-throughput data analyses, machine learning and software engineering. We work in a highly dynamic and collaborative environment focussing on the identification of molecular markers of breast cancer by
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. Qualifications: PhD or Masters in a relevant field Ability to teach either Undergraduate and/or Postgraduate programmes. Minimum of 5 years industry experience (if no previous University teaching experience
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on the application of computer-aided design (CAD), mathematical modelling, finite element analysis (FEA), and structural optimisation. You should also demonstrate a student-centred teaching focus with experience and
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Machine tool dynamics-based digital twins for real-time monitoring of cutting tool conditions in smart manufacturing School of Electrical and Electronic Engineering PhD Research Project Self Funded
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Experience with statistical analysis, machine learning methods, and high-performance computing Desirable: Experience with spatial transcriptomics, 3D genome analysis, or epitranscriptomics Familiarity with