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Field
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. Experience with digital twin modelling and validation of energy system solutions will be an advantage. Strong programming skills in Python, MATLAB or similar environments are required, and it will be advantage
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interpersonal skills. A commitment to gaining practical experience working on a research project. Ability to work well within a team. Desirable Criteria Programming or modelling experience (e.g. Python, MATLAB
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the area of antenna systems and their applications in biomedicine/biology Knowledge of computational electromagnetics with practical experiences with electromagnetics modeling software Programming in Matlab
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related area is required. Experience: Demonstrated experience in strong optimization computational skills, proficiency in one of the programming languages R, Matlab, and Python, and expertise in high
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) for dynamic systems with unknown but measurable performance functions. Experience in system identification and online time-varying parameter estimation algorithms. Programming skills in MATLAB/Simulink, C/C
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learning - deep neural network, recurrent neural network, LSTM Optimization theory Stochastic geometry Strong programming skills in at least one of the following: MATLAB, Python, JULIA or C++. Highly
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, 3DExperience) Basic programming experience in control systems and process analysis software (e.g., LabVIEW, Matlab, Python) Merits for the position include: Experience in friction stir welding experiments
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presentations. Knowledge of software such as: Mathematica, Matlab (or LabView), OriginLab, COMSOL, CorelDraw, LaTex. An additional advantage will be knowledge of issues from solid-state mechanics, polymer physics
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, MatLab) Very good skills with databases and large datasets Good collaboration skills and ability to work in an interdisciplinary team Very good knowledge of English (written and oral) Good communication
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. Familiarity with wildfire modeling, risk assessment, or disaster management. Strong programming skills in Python, Matlab, R, or other relevant languages. Experience working with large datasets and high