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intelligence methods, notably machine learning, anticipated to play a significant role in advancing sports science and performance. Applications could include training planning, identifying factors limiting
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26th July 2024 Languages English English English The Department of Computer Science has a vacancy for a PhD Candidate in Compiler Technologies Apply for this job See advertisement This is NTNU NTNU
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combination of geophysical, geological, and petrophysical data with advanced data processing techniques, including multi-component elastic full-waveform inversion, AVO inversion and machine learning, will be
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fields both locally (field by field) and regionally (groups of fields). Data driven analyses will be complemented by physical reservoir modelling, with machine learning approaches to extract correlations
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be able to teach at all levels and to supervise Master and PhD students. The position shall perform research on topics such as groundwater resources/flow and quality, pollution risk and contaminant
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, progression, and disease heterogeneity. Among others, the group's current projects leverage approaches from network science and machine learning in tool development for (1) modeling of regulatory interactions
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previous experience in application of machine learning techniques within energy systems strong analytical skills and ability to collect, analyze and study the impact of low carbon technologies good knowledge