347 coding-"https:" "https:" "https:" "https:" "https:" "https:" "Stanford University" positions at University of Oslo in Norway
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countries and exemptions from the requirements: https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 Grade requirements: The norm is as follows: the average grade point for courses
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theory, sequential inference, computational complexity theory. Language requirement: English requirements for applicants from outside of EU/ EEA countries and exemptions from the requirements: https
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oral and written communication skills in English English requirements for applicants from outside of EU/ EEA countries and exemptions from the requirements: https://www.mn.uio.no/english/research/phd
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research infrastructure, hosted at the USIT TSD service (https://www.uio.no/english/services/it/research/sensitive-data/index.html). The main purpose of the fellowship is to qualify researchers for work in
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candidates may apply before completing their PhD degree. However, a documented proof of a PhD degree is required upon appointment Excellent programming skills (Python, Julia, R) and maintenance of code
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. Experience with programming (for example Python/Matlab) and image analysis is highly recommended. Please share your GitHub code repository if you have one. In assessing the applications, special emphasis will
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(Services for sensitive data) Participate in the dissemination of the project Participate in coding of data and organization of coding Participate in work with ethical approvals and data management plan
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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 salary range NOK from 595 000
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appointment Excellent programming skills (Python, Julia, R) and maintenance of code repositories Proven experience in machine learning method development Fluency in English Desired qualifications 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