11 biomedical-signal-processing Postdoctoral positions at University of Oslo in Norway
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. The hiring process will include an interview with the most qualified candidates. We offer Salary NOK 551 000-594 000 per year for PhD fellows, for postdoctoral fellows NOK 595 000-668 000, depending
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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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experience with collaborative work, will also be taken into consideration. The hiring process will include an interview with the most qualified candidates. We offer Salary NOK 551 000-594 000 per year for PhD
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position Apply for this job See advertisement About the position / About the job A 100% post-doc position is available for MD’s or PhD’s in biomedical data science or biostatistics. The Clinical
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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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, freely-behaving recording procedures, signal processing and data analyses Experience with rodent development, colonies maintenance Fluent oral and written English communication skills Python, Matlab, R
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on brain health and cognitive processes. Magnetic Resonance Imaging (MRI) is used in the project in combination with cognitive, neuropsychological and somatic assessments. The position will particularly
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recommendation letters may be solicited. You should indicate your relation to these persons. Please do not submit any recommendation letters before we contact you and explicitly ask you to. Please note that all
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Council of Norway. The project's aim is to study the affect of sleep on brain health and cognitive processes. Magnetic Resonance Imaging (MRI) is used in the project in combination with cognitive
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´omics data, as well as processing of neuroimaging data from relevant datasets, including international and Norwegian samples. Interpret and write up results from the prediction framework and further