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. Experience in coding with Python, MATLAB, Julia, C/C++, or a similar program language. Experience with biological data analysis or simulations of dynamics. Knowledge of network science and/or complexity
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, applied mathematics, statistical physics, biology, or a related field. Reasonable communication skills. Experience in coding with Python, MATLAB, Julia, C/C++, or a similar program language. Experience with
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QUALIFICATIONS Track record of mentoring and teaching laboratory and professional skills. Experience using code-based programs (Python, MATLAB) for processing and analyzing large or multimodal datasets (e.g
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of electricity and other energy markets. Knowledge of cost model and financial modelling of renewable technologies. Coding experience (Python, Matlab) You must be responsible for the teaching of courses. DTU
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well as programming (Python, R, MATLAB) or instrument method development, would be advantageous but not essential. Excellent communication, organisation, and teamwork skills are essential. The ability to work
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. Knowledge of programming languages (e.g., C, C++, Python, R, Matlab) is preferred. Primary Responsibilities: The successful candidate(s) will be expected to carry out research under minimal supervision
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approaches to neuroimaging and related data using MATLAB tools and R routines for the purpose of analyzing neuroimaging data. Design, develop, and implement computer algorithms and software for analyzing
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software, including MATLAB, python and method-specific toolboxes. Knowledge of the overall UiO infrastructure and procedures. Norwegian language skills. Personal skills Good communication and pedagogical
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of the following areas: machine learning, energy system modelling and simulation, or digital twin systems. Proficiency in programming languages (e.g., Python, MATLAB, or similar) and experience with
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. Experience with computer coding in MATLAB or Python is preferred. Other: Except for qualifications established by law, additional related experience and formal education in which one has gained the knowledge