4 machine-learning "https:" "https:" "https:" "https:" "https:" scholarships at University of Oslo in Norway
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& Collaboration The successful candidate will work at the interface of machine learning and biostatistics, developing new theory, algorithms, and scalable implementations. By establishing a new class of multi-frame
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complex biological systems. Research Environment & Collaboration The successful candidate will work at the interface of machine learning and biostatistics, developing new theory, algorithms, and scalable
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data to gain a more precise understanding of complex biological systems. Research Environment & Collaboration The successful candidate will work at the interface of machine learning and biostatistics
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broad range of areas, including causal inference and time-to-event analysis, clinical trials, epidemiology, high dimensional statistics, infectious disease, machine learning and mathematical modelling