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engineeringEducation LevelBachelor Degree or equivalent Skills/Qualifications Technical Skills: Energy simulation tools: EnergyPlus, DesignBuilder... Climate modeling: MatLab, Python, or similar. Sustainable urban
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alignment, lasers, fibre optics, or low-flux detection is a strong asset. • Skills in modelling and scientific computing (Python, Matlab, etc.). • A rigorous, hands-on approach and enthusiasm for working
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processing, as well as proven experience in Mueller polarimetry and optical system characterization. 2) Proficiency in numerical modeling approaches, combined with solid programming skills (Python, Matlab
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skills (Python, Matlab, R) applied to numerical modelling and data analysis. FORMALISATION OF THE APPLICATIONS The applications will be formalised by submitting a specific form in INESC TEC's website
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languages including Python, R and MATLAB. Demonstrated experience encoding a workflow in at least one of the above languages. Experience using high-performance computing. Strong interpersonal and
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | about 1 month ago
, particularly using MatLab and/or Python. Legislation and other applicable regulations: Research Fellowship Holder Statute enacted by Law no. 40/2004 of August 18th, as amended; FCT Research Grants Regulation
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at national and international conferences while fostering collaborations. You will also conduct cutting-edge research, integrating first-person reports with behavioural and neuroimaging data, developing MATLAB
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Maxwell’s equations and scientific programming (e.g., Matlab, Python, C++) Competent in teamwork and presenting results in informative visuals Interpersonal skill: Ability to work under pressure, Ability to
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Technical skills : - Ability to handle large datasets (hundred thousands to millions of rows) using a programming language (e.g. R, Python, MATLAB) - Good knowledge of descriptive multivariate data analyses
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neuroimaging data is preferred. Experience with neuroimaging software and deep learning model implementation. Proficiency in Linux/Unix and at least one scripting language (e.g., Shell scripting, Python, MATLAB