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platform using Python, including implementing data acquisition, visualization, and communication interface. May include use of makerspaces, machine shops, oscilloscopes and multimeters, Python, MATLAB, and C
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-structure-sediment interactions Post-processing and analysis of large datasets using Python/MATLAB Supervision of project-related student internships and master theses Dissemination of results through
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, modeling and simulation of industrial processes. Proficiency in chemical process simulation software (e.g., gPROMS, Aspen, DWSIM, UNISIMDESIGN). Strong programming skills in Python and/or MATLAB
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(e.g., Python, MATLAB), statistical programming languages (e.g., R, SPSS, SAS), and/or stimulus presentation software (e.g., Psychtoolbox, Presentation, ExperimentBuilder, PsychoPy) is desired. 5
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ends 8/31/2026. Required Qualifications The person applying for this position should be proficient in Excel, Python or MATLAB. Desired Qualifications Training provided. Special Instructions to Applicants
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mechanics) with data-driven techniques. • Proficiency in Python (NumPy, TensorFlow/PyTorch) and MATLAB. • Familiarity with deep learning architectures, particularly recurrent neural networks (e.g., LSTM) and
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and perform simulations using established software like MEEP and COMSOL, as well as custom-written code based on languages like C++, Python, Matlab Lead papers and publish in high-impact journals
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of Brice Bathellier (Institut Audition), Virginie van Wassenhove (NeuroSpin), and Mehrdad Jazayeri (MIT). Where to apply Website https://emploi.cnrs.fr/Offres/CDD/SNC9138-SRDOST-010/Default.aspx Requirements
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, monitoring, data acquisition and processing in MATLAB and cross-platform Python (Windows and Linux) and experience in integration of systems for synchronised acquisition and aggregation of data sources
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issues. Proficiency in urban modeling tools such as MATLAB, Python (especially libraries like Pandas, NumPy, SciPy, GeoPandas, etc.), and R. Advanced skills in predictive modeling and machine learning