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education requirements. Applicants must be proficient in both written and oral English. Software development experience from both Python and Java development is required, with in-depth experience from one
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in quantitative methods (reflected in courses and/or research experience) Proficiency in R, Python, or similar programming languages (or strong skills in another statistics software) Knowledge about
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for Bayesian inference Documented experience with programming in either Python or R. Foreign completed degree (M.Sc.-level) corresponding to a minimum of four years in the Norwegian educational system Fluent
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, MATLAB, Python) background in process safety, thermal system design, or energy storage is considered an advantage skills in technical writing, scientific publications and presentations a good command of
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analysis in Matlab, Python, and/or a related programming language. Written and spoken English proficiency. International candidates that are not exempt from the English language requirements pursuant
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degrees (M.Sc.-level) must correspond to a minimum of four years in the Norwegian educational system Experience with high-throughput sequencing omics data analysis Proficiency in programming with Python, R
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starting the PhD). The candidate must be qualified for admission to the ph.d. program Strong background in quantitative methods (reflected in courses and/or research experience) Proficiency in R, Python
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Experience with rodent development, colonies maintenance Fluent oral and written English communication skills Python, Matlab, R or other relevant programming language skills Experience in the following will
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following computing skills will be considered an advantage: Natural Language Processing and LLMs; R; Python. Applicants must be fluent in English. Applicants who have completed their education outside
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in modelling using Matlab or Python. You have solid experience using process simulator AspenPlus or Hysys, and you have used them to simulate absorption processes. You have experience with absorption