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the possibility of linkage to administrative registers. The role of the candidate will focus on developing reproducible code (Stata, R, Python) to curate raw accelerometer data and derive metrics that characterize
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dynamics, numerical modeling, and scientific programming is required. The following areas of expertise are considered beneficial: Experience in scientific computations using Python, C, C++. Experience in
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ICT systems’ security Strong programming skills, especially in Python, MATLAB, and/or C/C++. To be admitted into the PhD programme in Engineering and Science, the applicant must hold a master's degree
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a strong quantitative background and extensive experience in scientific programing (using e.g., Python, Matlab, and/or Julia), as well as a strong interest in climate science and biogeochemical
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laboratory work. Experience with molecular biology techniques, such as RNA sequencing (from RNA extraction to data analysis) Experience with immunohistochemistry Experience in using R, python or similar
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work. Experience with molecular biology techniques, such as RNA sequencing (from RNA extraction to data analysis) Experience with immunohistochemistry Experience in using R, python or similar programming
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computing (HPC). Proficiency in backend development (e.g., Python, Node.js) and use of APIs for data access and integration (e.g., RESTful, xAPI, LTI). Experience with data analysis and visualization using
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recordings FELASA certificate (or equivalent personal license to conduct animal experiments) is required. Fluent oral and written English communication skills Python, Matlab, R or other relevant programming
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in coding e.g. Python, or MATLAB Writing skills for research papers. Experience in applied machine learning, fault diagnosis, laboratory testing and development is a plus. Good knowledge in Norwegian
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Python) Mathematics Knowledge of these needs to be documented, and GPA (grade point average) and translation rules for the European Standardized Character System must follow the application. Moreover