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: Valid driver’s license. Programming and numerical analysis skills (e.g., Python, MATLAB) and/or experience with groundwater/geochemical modelling software (e.g., MODFLOW, PHREEQC). Experience with
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spectroscopy is highly beneficial Experience with and knowledge of mathematical modeling techniques (numerical solution of Partial Differential Equations) Programming and data analysis in Python Language
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Equations) Programming and data analysis in Python Language requirement: Good oral and written communication skills in English English requirements for applicants from outside of EU/ EEA countries and
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Norwegian University of Science and Technology (NTNU) for general criteria for the position. Preferred selection criteria Strong skills in programming languages and software-engineering paradigms, e.g. Python
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in relevant genetic data analyses such as GCTA, polygenic scores, GWAS, or family genetic risk scores. Familiarity with R, Python, Julia, or other relevant computing languages. Experience with register
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of materials with advanced instrumentation, such as those mentioned in the job description Programming skills, e.g., by LabView, Arduino, Python, Origin or Igor pro All candidates and projects will have to
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. Desired qualifications: Strong theoretical and methodological capacities in statistics Documented expertise in computational methods and experience with R or Python programming Experience in Bayesian
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background in statistics (a minimum of 60 ECTS in statistics). Knowledge in programming skills (e.g., R, Python). Candidates without a master’s degree have until June 30, 2026 to complete the final exam
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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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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