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Transformers). Analysis of existing datasets. Evaluation of the trained models on suitable datasets. What you contribute Good knowledge in the field of machine learning and training neural networks. Good Python
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statistical and machine learning methods, particularly for high-dimensional or longitudinal data. Demonstrable experience in research software development using R or Python and a track record of contributing
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knowledge of programming, including Linux, Python, and R. Candidates having background knowledge in neuroimaging, machine learning, and/or genomics/genetics are encouraged. Excellent communication and writing
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Polarization Lab for scientific research on human-AI interaction on social media. The ideal candidate will possess advanced knowledge of R and/or Python software, have experience performing statistical analyses
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programming language (Python or similar) and experience with UNIX/LINUX. (Required) Education, Licenses, Certifications & Personal Affiliations Master's Degree in quantitative methods, statistics or a related
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SPEAR Centre: PhD in ‘Long-Range, High Bandwidth Distributed Acoustic Sensing for Fibre Optic Links’
fading, and maintain stable performance over 40–100 km fibre lengths. Perform co-simulation of optical and electronic/system-level subsystems (e.g., using Python, MATLAB, VPI). Build and characterise
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Website https://emploi.cnrs.fr/Offres/CDD/UMR5267-DOMCAI-002/Default.aspx Requirements Research FieldLanguage sciencesEducation LevelPhD or equivalent Research FieldLanguage sciencesEducation LevelPhD
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their dependents can obtain a degree TUITION FREE A generous retirement plan and so much more! Salary Grade: T25 Salary Range: $41,250 - $49,000 Learn more about the “T” salary structure here: https
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Germany | 20 days ago
biological systems, prior experience in biological modeling and in transcriptomic data analysis. Proficiency in programming (e.g., Python, R) and familiarity with high-performance computing environments