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a PhD/DPhil, strong analytical and coding skills, and a passion for interdisciplinary collaboration. If you have experience in modelling, data science, or heritage science — and a drive to turn
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to the career stage, including some experience of research project supervision. E13 Commitment to open research, as appropriate to the discipline, through open data, open code, open educational resources and
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, conducting performance assessments and benchmarking case studies, and helping codes to transition into the era of accelerate compute. You will be embedded into the SHAREing (https://shareing-dri.github.io
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Design and deliver advanced undergraduate and postgraduate courses in areas such as mathematical statistics, machine learning, coding, and algorithmics. Play a pivotal role in programme accreditation
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the Faculty of Medical Sciences here: https://www.ncl.ac.uk/medical-sciences/ Find out more about our Research Institutes here: https://www.ncl.ac.uk/medical-sciences/research/institutes/ As part of our
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facilitate active scientific exchange and foster a good atmosphere, and therefore play a big role in our team. Learn more about us here: https://swa.cs.univie.ac.at/ Your future tasks: You actively participate
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ongoing, and you will need to use the code and tools that have already been developed by the team. These include the use of Tensorflow, PyTorch and Python. You will work with large imaging datasets commonly
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networks are applied genomics, fluorescent microscopy and proteomics for cell profiling. The project is already ongoing, and you will need to use the code and tools that have already been developed by
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Service. You will provide on-demand support for researcher queries around research application software, licensing, code optimisation and best practice. You will run our drop-in sessions and have oversight
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, coding, and algorithmics. Contribute to programme design, accreditation, and innovative teaching strategies that enhance student experience and employability. Research & Scholarship Lead independent