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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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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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-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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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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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 documents should
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, including digital twin methodology, to fit and validate prediction model. Perform quality control and imputation of genotype and ´omics data, as well as processing of neuroimaging data from relevant datasets
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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
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, bioinformatics, or computational biology. Proficiency in programming and scripting languages (e.g., Python, R, Matlab). Experience with data processing, large-scale genomic and neuroimaging data, and statistical