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the cell culture environment. b. Digital Twin Development: Utilize programming and data science skills (e.g., Python, R, TensorFlow) to develop, train, and validate machine learning (AI) models. These models
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imaging hardware, as well as programming skills in Matlab, LabView, Python, or a C-based language. Experience in neuroscience research and evidence of creative, original work in hardware or software
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regional climate modelling, good knowledge of programming in Matlab/Python, Fortran/C, Bash, and working in an HPC environment, published scientific papers, and be fluent in written and spoken English. Where
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, Maritime Studies, Transportation Engineering, Computer Science/Data Science, or a related discipline. Excellent programming skills (Python, Matlab, etc.). Excellent proficiency in English (written and spoken
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, including REDCap along with experience in research compliance and administrative management systems. Experience in Python, R, and MATLAB for data analysis. Experience in administering and developing fMRI and
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of machine learning/deep learning (e.g., classification, feature learning, neural networks). Experience in scientific programming (e.g., Python and/or MATLAB) and code management tools. Good knowledge
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highly advantageous: Scientific programming in Python or MATLAB Probabilistic methods, Bayesian inference, or stochastic modelling Structural mechanics, material modelling, or multi-physics simulation Data
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: Scientific programming in Python or MATLAB Structural mechanics, reliability analysis, or probabilistic modelling Data analytics, SHM/SCADA data interpretation, or digital-twin technologies Wind energy systems
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). - Integration of behavior with imaging/optogenetics in mice. - Development of custom behavioral tasks and closed‑loop experimental designs. - Proficiency in basic data analysis in Python or MATLAB (more advanced
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programming (Python, Matlab, etc.) as well as in modeling polymerization processes or using machine learning techniques is highly desirable. Good command of written and spoken English is a must (if preselected