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digitalising machining processes. Programming and using pre-existing in-house software/scripts (using MATLAB and Python) for data analysis and modelling. Support on generating new scripts using data-driven and
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science or computer science. demonstrable programming skills (e.g., Python, R) and experience handling spatial datasets. experience of probabilistic modelling, geostatistics, or machine learning. ability
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, Biostatistics, or a closely related quantitative discipline and strong programming skills in Python or R. They will also have experience in causal inference research, including methods for treatment effect
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expertise in AI and epidemiology. The ideal candidate will have excellent computational skills and will be able to work with minimal supervision. Experience of artificial intelligence and coding in Python is
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-and-route Be familiar with Python programming Have a working proficiency in English. (Finnish language is not required.) The following are considered an advantage Experience with FPGA prototyping
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computer science. demonstrable programming skills (e.g., Python, R) and experience handling spatial datasets. experience of probabilistic modelling, geostatistics, or machine learning. ability to work independently
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of Finland project ELPH-ML (https://research.fi/en/results/funding/88752 ). In combination with academic development courses at Aalto University, we will help you grow a competitive and international career
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development activities in the GeoGuard project (https://geoguard.hw.ac.uk) spanning reservoir characterisation, subsurface simulation modelling, well engineering design, and reservoir stimulation assessment
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found at https://www.buildzero.ac.uk/ Main duties and responsibilities Quantifying typical ranges for the material intensity, embodied carbon and reuse potential of different building products and typical
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mid October this year. The project intended for the post-doc is part of a collaboration within my group on the Google Willow Chip project (https://www.bbc.co.uk/news/articles/cd7pwezyze1o) for which we