316 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" "U.S" positions at University of Oslo
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Environment Convergence Environment. Clim-SHOCK investigates volcanic climate shocks from the past and places them into a future scenario. What can we learn from the past to improve future climate projections
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) to enhance AML capabilities. AI-driven solutions can learn from vast datasets to spot hidden patterns and anomalies beyond human or rule-based detection. For more information and how to apply: https
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(NICE) Norwegian Centre for Intelligent Computers and Electronics - NTNU. https://www.ntnu.edu/nice For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/294530/phd
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of Oslo that spans molecular, cellular, and systems-level approaches. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/295465/postdoctoral-research-fellowship-in
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outside of EU/ EEA countries and exemptions from the requirements: https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 Desirable experience (in ranked order): • Research in
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with the SFF Integreat, The Norwegian Centre for Knowledge-driven Machine Learning (ML) , a centre of excellence funded by RCN and in operation until 2033. The research group on statistical models
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cell states. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/295327/researcher-position-in-functional-genomics-and-cancer-research Where to apply Website https
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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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for Global Sustainability. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/294034/phd-research-fellow-in-statistical-population-ecology Where to apply Website https
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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