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for engineering problems, comfortable with Python and Matlab Required duties: Preprocessing of climate data from global and regional climate models, relevant for the engineering case studies that will be included
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: Candidates should have advanced knowledge and practical experience in programming (preferably Python or C/C++), MATLAB/MATLAB Simulink simulation, sensors and data acquisition, and electrical circuits
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and integrate the existing MATLAB-based HFMC model with Aspen Plus to enable process-level simulation and evaluation. • Develop and assess multistage and multi-membrane process configurations for CO₂/CH
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desirable. Basic background in MR physics and neuroscience is desirable. Good knowledge of Matlab or Python is a strong advantage. Ability to collaborate with others is a must. About you The candidate should
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field by the appointment start date. Strong econometric theory, probability, statistics, and research skills in IV methods, causal inference, and machine learning. Proficiency in R, Python, MATLAB
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learning for materials discovery or quantitative image analysis, DFT calculations for catalyst design, experiences with MATLAB / Python / AutoCAD / COMSOL • Organic synthesis, polymer chemistry, synthesis
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de datos. Programación en R o Matlab (o Python). Análisis y modelado de series temporales mediante técnicas ARIMA. Redacción de informes técnicos. Publicación de resultados como artículos científicos o
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in triaxial testing and constitutive modelling Excellent programming skills, such as Python, MATLAB, or other competent languages. A good record of publications in reputable peer-reviewed journals
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techniques and software (e.g., Matlab, R, IDL, Triton, Ishmael, XBAT Raven, and PAMGUARD) and statistical and/or mathematical programming languages (e.g., R, Matlab). Applicants with experience in marine
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hardware. Necessary skills include proficiency in acoustic analytical techniques and software (e.g., Matlab, R, IDL, Triton, Ishmael, XBAT Raven, and PAMGUARD) and statistical and/or mathematical