253 coding-"https:"-"https:"-"https:"-"https:"-"https:"-"NanoSci" positions in Norway
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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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criteria for the position. Preferred selection criteria Experience and interest in advanced fluorescence microscopy Experience and interest in image analysis and bioinformatics Coding experience Experience
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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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the proportion of women in scientific positions. Female students are therefore encouraged to apply. We have a number of measures to promote equality. Salary and conditions In the position of PhD Candidate, code
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the position, feel free to contact: Erik Døving, unit leader, (+47) 930 34 798 The salary for the position is in accordance with the pay scale for Norwegian state employees, job title and position code
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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