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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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. Required qualifications The successful candidate must have: Master’s degree/Cand.psychol. degree in psychology. PhD in a relevant field, with a dissertation focused on a topic within developmental psychology
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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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invite applications for a postdoctoral fellowship for an ambitious researcher with a relevant PhD to be part of the MAGIC project. The aim of the project is to uncover the role of metabolic dysfunction in
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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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PhD to be part of the Nordic collaborative project PreciMENT - Leveraging Nordic Opportunities to Transform Mental Health Care through Precision Medicine. The overall goal of the project is to transform