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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 project PI and team are also in close collaboration
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to maintain their operations, which includes both real-time data and historical data, some of which can be highly sensitive and need to be protected. Access to such data and further processing should be
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and molecular phenotyping Experience with in vivo electrophysiology in rodents including device buildings, surgical procedures, freely-behaving recording procedures, signal processing and data analyses
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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 project PI and team are also in close collaboration
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candidate will join MISFAITH, an RCN-funded project that develops radically new, non-antibiotic strategies to prevent and treat peri-implant-related diseases. The candidate should, therefore, have an
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PhD Research Fellow in Experimental Fluid Mechanics: Tunable hairy surfaces for droplet flow control
. The fellowship period is 3 years. The position is part of the HAIRY project funded by the Research Council of Norway. The project aims to provide a fundamental understanding of the physical processes involved as
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. The project explores how entangled social, political and environmental processes shape change. We are especially interested in the non-linear processes of change which are not factored into existing models
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of inorganic and physical chemistry. Relevant research areas are studies of separation and extraction of metals from minerals and waste using radioactive tracers; processing of spent nuclear fuel; nuclear
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-resolution imaging and molecular phenotyping Experience with in vivo electrophysiology in rodents including device buildings, surgical procedures, freely-behaving recording procedures, signal processing and
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radically new, non-antibiotic strategies to prevent and treat peri-implant-related diseases. The candidate should, therefore, have an educational background that enables an understanding of the interplay