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Field
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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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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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equivalent) in hand by January 1, 2026. Experience with at-sea data collection. Experience with zooplankton sampling or underwater acoustics. Programming experience in R, Matlab, Python, or other statistical
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Engineering or relevant field; Strong computer programming skills (e.g., C/C++/Java/Python, Matlab) are a must; Strong background in Computational and/or Artificial Intelligence; Usage of Machine Learning and
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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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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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, 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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, 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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. 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
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. Strong skills in geospatial analysis. Strong skills in image analysis and machine learning. Proficiency in scientific programming and data analysis using tools such as Python, R, MATLAB, or similar