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of programming with Python for either electron microscope control or for analysis of electron microscopy images. Due to the collaborative nature of the project, the researcher will have the opportunity
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, including acquisition techniques Proficiency in scientific programming (e.g., Python, MATLAB, C++) and debugging. Proven ability to publish in international journals and conferences, and other research
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physics, imaging science, or a closely related field ii. Strong programming and modelling skills (e.g., Python/C++/MATLAB; numerical methods; model fitting/inference). 3. Knowledge of current status
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to participate in and develop both internal and external networks and utilise them to enhance the research activities of the School. Relevant programming experience (Python and/or specific NLP libraries
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topics. Experience developing software in a scientific computing context, ideally using Python/Pytorch/R, including the use of established libraries used in data science and artificial intelligence
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or programming language such as R, SPSS, Stata, SAS, or Python would be desirable, but not essential. Proven ability to publish in peer-reviewed national/international journals or develop other relevant research
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, including extensive knowledge of statistical methods (particularly regression analysis and analysis of longitudinal data), and of writing syntax files in appropriate software (e.g. Stata, R and Python
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programming language being applied to research, data science or artificial intelligence e.g. Python, C, C++ or R. (ii) Or one modern automation or infrastructure-as-code language applied to HPC systems