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four years in the Norwegian educational system A solid background in machine learning, mathematics, linear algebra, and/or statistics is also required Solid knowledge and experience in Python programming
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statistical tools (e.g. python, R). Willing to exchange with national and international project collaborators including potential research stays abroad. Very good co-operative skills, and the ability
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knowledge of handling sequence data from RNA-seq or other NGS-based approaches. Experience with data analysis in Python/R. Experience with experimental work on plants or other eukaryotic organisms in
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the Norwegian educational system A solid background in machine learning, mathematics, linear algebra, and/or statistics is also required Solid knowledge and experience in Python programming is required Experience
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datasets), including spectra, flow statistics, and diagnostics relevant to helioseismic inference. Development and maintenance of robust, reproducible analysis workflows (Python and/or Julia-based; HPC
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(e.g., carbon, nutrients, oxygen) or transient tracers such as CFC-12 and SF6, is required. Proficiency in MATLAB or Python is required. Applicants must be able to take part in a nearly two-month-long
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for evaluation by the closing date. Only applicants with an approved doctoral thesis and public defense are eligible for appointment. Programming skills in GAMS and Python. Experience with HPC. Experience with
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absorption or Raman Good programming skills (preferably Python) Strong written and oral communication skills In the assessment, the emphasis is on the applicant's potential to complete a research education
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such as CFC-12 and SF6, is required. Proficiency in MATLAB or Python is required. Applicants must be able to take part in a nearly two-month-long Arctic Ocean research cruise scheduled to begin in late July
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electrical semiconductor defect characterization. Experience with data analysis using, e.g., Origin, Python or MatLab. Programming skills, e.g. proficient with Labview or Python. Experience with semiconductor