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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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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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., Python, Matlab, and/or Julia), as well as a strong interest in climate science and biogeochemical cycling. Previous experience applying Bayesian inference, data assimilation, inverse modeling, and/or
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sub-sampling experience Experiences with paleogeographic modelling and the GPlates reconstruction freeware Scientific programming (e.g., Python) All candidates and projects will have to undergo a check
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. Experience analyzing large-scale datasets (e.g., scRNA-seq, TCR/BCR sequencing) and familiarity with R or Python are highly desired. Personal qualities: We seek a candidate who is intellectually curious
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machine learning and/or image analysis/computer vision A solid and documented background in machine learning, mathematics, linear algebra, and/or statistics Documented knowledge and experience in Python
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or Python are highly desired. Personal qualities: We seek a candidate who is intellectually curious, creative, resilient, meticulous in their research, and has a collaborative spirit. Employment in
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algebra, and/or statistics Documented knowledge and experience in Python programming Foreign completed degree (M.Sc.-level) corresponding to a minimum of four years in the Norwegian educational system
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., Python, R, bash). At least one publication in an international peer-reviewed journal of an end-to-end software developed by the candidate Documented experience with Nextflow or Snakemake. Documented