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activities, including supporting clinical trial and experimental medicine studies. You will select, follow, and adapt specialist data analysis methodologies using R and/or Python to work with large-scale
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candidates will have: A solid grounding in mathematical or physical sciences Interest in dynamical systems and complex system behaviour Some coding experience (Python and/or Julia) Enthusiasm for working
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using Python-based environments (e.g., Jupyter Notebook, Google Colab) Conduct validation and performance evaluation of developed models Conduct literature reviews and benchmarking of existing AI
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schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . Key Responsibilities: Develop and implement high-fidelity CFD and FEA simulation workflows for modelling heat
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genomics data, writing Python code for data analysis, and a downstream R pipeline for post-processing data using standard Bioinformatics libraries from Bioconductor. There will be opportunities
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analysis of images or volumes, e.g., in ImageJ, or Python. Experience in visualization software, e.g., Blender, DragonFly. Knowledgeable in programming, e.g., Python. High motivation, ability to quickly
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well as programming skills (Python required; experience with seismic data processing is advantageous) Initial experience seismic data analysis and/or wave propagation modelling is an asset Willingness to participate in
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, including FEM and structural analysis. Experience or interest in metamaterials, fracture mechanics, or advanced material behavior. Programming skills (e.g., Python, MATLAB, Julia,..), ideally with experience
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tools in python to develop innovative algorithms. • Optical engineering: Collaborate with an optical engineer to integrate an IFS prototype on the THD2 experimental testbed. • Experimental physics
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staff to carry out activities related to research lines or scientific-technical services Ref. Interna M4000-7765 Call for selection of research asistants https://sede.urjc.es/tablon-oficial IN SPANISH