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and TMS-EEG data acquisition and analysis, as well as familiarity with high-field MRI workflows. Proficiency with use of established EEG analysis toolkits (e.g. Matlab, FieldTrip and EEGLAB). A
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Laboratoire de Physique des Interfaces et des Couches Minces (LPICM), UMR CNRS/École Polytechnique, | Palaiseau, le de France | France | 10 days ago
measurement systems, with in-depth experience in languages like MATLAB, Python, C/C++, and LabVIEW. Basic understanding of electronics and embedded systems. Methodical, rigorous, creative, and challenge
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. These experiments will be combined with optogenetic tools for causal manipulations of neural circuits during learning and sleep. Additionally, data analysis using MATLAB (or Python) will be used to analyse neural
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disease dynamics, preferably with applications to emerging or re-emerging diseases; Proficiency in programming languages such as R, Python, MATLAB, C++, or similar tools for data analysis and model
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are also encouraged to apply. Experience coding for neural data analysis using Matlab or Python is helpful. See colonneselab.org for more information. Duties include: 1. Design and implementation of research
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(or a related field), is proficient in both mechanistic modeling and ML frameworks (e.g., TensorFlow, PyTorch), and has strong programming skills (Python/MATLAB/C++). Join us to tackle sustainability
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, MATLAB). excellent written and verbal communication skills. proven ability to work collaboratively in a team setting. Pre-employment checks Your employment is conditional upon the completion of all role
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computational skills, with experience in advanced data analysis and statistical methods Proficiency in computer programming, ideally in MATLAB, Python or similar tools for scientific data analysis and
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numerical work (35%) Minimum Qualifications: PhD in Ocean Engineering or related field Experience with programming and analysis in Matlab or similar programming language Experience with hands-on experimental
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models, statistical analysis). Proficiency in programming languages (e.g., R, Python, MATLAB) and familiarity with relevant air quality modeling tools. Experience with large datasets and data processing