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network that equips early-career researchers with solid theoretical foundations, advanced empirical methods, and the ability to engage across disciplines. We welcome candidates with strong academic
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) at the Karolinska Institute, Sweden. The position is funded by the European Commission through the MSCA Doctoral Network Endotrain (Grant No: 101227148) and coordinated by the University of Bergen, Norway
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on the problem of making distributed machine learning robust to network outages and computational bottlenecks. The work is part of the Norwegian national AI centre SURE-AI, and the PhD student will
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machine learning robust to network outages and computational bottlenecks. The work is part of the Norwegian national AI centre SURE-AI, and the PhD student will participate in the project activities. Your
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for the positions. For the positions, moving to Norway is required and residence in or close by Oslo city is expected. The appointed candidates will work within the collaborative EU funded doctoral training network
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Electrical Engineering . Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/293142/phd-candidate-in-networke… Requirements Research FieldTechnologyEducation LevelMaster Degree or equivalent
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. Strong (inter-)national network in field of application. Experience with high-performance computing (HPC) and large datasets. Experience with machine learning applied to geophysical signals. Experience in
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city is expected. The appointed candidates will work within the collaborative EU funded doctoral training network HEALENAE: Health and Environment in Africa and Europe. The network will consist of 15
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to Norway is required and residence in or close by Oslo city is expected. The appointed candidates will work within the collaborative EU funded doctoral training network HEALENAE: Health and Environment in
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motivation for the subject Emphasis will be placed on personal qualities. We offer Norwegian Maritime AI Centre industrial network, and a joint PhD environment An exciting job with an important mission in