128 coding-"https:"-"https:"-"https:"-"https:"-"https:"-"NOVA.id" positions at University of Oslo
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researchers, foregrounds how informatics is not just about code, but about the material basis of technology and its role in both human and non-human flourishing. The main purpose of a postdoctoral fellowship is
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understanding of neural codes for time and their relation to memory deficits in patients. The project combines intracranial electrophysiological recordings in humans with behavioral experiments and has three
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Postdoctoral Fellow, position code 1352 in salary range NOK from 595 000 to 677 000, depending on competence and experience. From the salary, 2 percent is deducted in statutory contributions to the State Pension
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arises in disease. This project aims to advance our understanding of neural codes for time and their relation to memory deficits in patients. The project combines intracranial electrophysiological
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trials Interest and experience with user participation in research Interest and experience with open science practices (e.g., pre-registered analytic plans, open sharing of analytic code, or involvement
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of Psychology Researcher in Post-Pandemic Youth Mental Health Apply for this job See advertisement About the position A researcher position (researcher code SKO 1109) is available at the PROMENTA Research Center
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with beneficial mortgages and good insurance schemes. Salary in position as Postdoctoral Fellow, position code 1352 in salary range NOK from 595 000 to 677 000, depending on competence and experience
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the Statens Pensjonskasse , which is one of Norway's best pension schemes with beneficial mortgages and good insurance schemes. Salary as Associate Professor (position code 1011): NOK 820,000–920,000 per year
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a Deep Eco-Technosophy, as the candidate, partly in collaboration with other researchers, foregrounds how informatics is not just about code, but about the material basis of technology and its role in
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, open sharing of analytic code, or involvement with registered reports) Experience using structural equation modelling to investigate patterns of covariation in observational data Experience presenting