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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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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 fellows, for postdoctoral fellows
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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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Develop and apply machine learning techniques and statistical analyses, including digital twin methodology, to fit and validate prediction model. Perform quality control and imputation of genotype and
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of molecular data in cancer genomics. The position is connected to the project “Bayesian Rank-based unsupervised Integration of multi-source Data in cancer Genomics and the digital Economy (BRIDGE)”, recently
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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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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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. 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, neuropsychological and somatic
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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