187 coding-"https:"-"https:"-"https:"-"Atlantic-Technological-University" Fellowship positions in Norway
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the result of 6.5 Criteria for positions as PhD Research Fellow (in Norwegian). Desired qualifications Hands-on experience with AI-based workflows and generative AI tools (e.g., ChatGPT, Claude Code
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be at the Selmer Center in Secure Communication . The Selmer Center is a top ICT research group with main research in areas of cryptography, Boolean functions, sequence design and coding theory
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schemes with beneficial mortgages and good insurance schemes. Salary in position as Postdoctoral Fellow, position code 1352 in salary range NOK from 595 000,- to 680 000,- depending on competence and
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professionally stimulating working environment salary as PhD research fellow (code 1017) in the state salary scale. This constitutes a gross annual salary of NOK 568 700. Further increases in salary are made
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satisfy the enrolment requirements for the PhD programme at the University of Bergen. We can offer: a good and professionally challenging working environment. salary as PhD research fellow (code 1017) in
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of Norway's best pension schemes with beneficial mortgages and good insurance schemes. Salary in position as Doctoral Research Fellow, position code 1017 in salary range NOK from 551 000 to 594 000, depending
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. access to Lifekeys , a digital service for the preservation of personal mental health and well-being salary in accordance with the State Salary Scale, l.pl 17.515, code 1017, NOK 550 800 gross per year
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. Membership in the Statens Pensjonskasse , which is one of Norway's best pension schemes with beneficial mortgages and good insurance schemes Salary in position as Postdoctoral Fellow, position code 1352 in
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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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, 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