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Experience1 - 4 Additional Information Eligibility criteria - PhD on steganalysis and/or watermarking - knowledge in image coding and on generative methods - knowledge about python Additional comments NA
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Doctoral degree in statistics, biostatistics, computer science, psychiatry, psychology or a related discipline. They should be familiar with programming languages such as R or Python and have a good command
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internationally recognized journals. Experience in statistical genetics, including genome-wide association studies and analysis of biobank-scale data. In-depth knowledge of R, Python, bash and git, and experience
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French National Institute for Health Research (INSERM) | Lille, Nord Pas de Calais | France | 3 months ago
bioinformatics workflows in Python for the analysis of transcriptomic, proteomic, single-cell transcriptomic, and interactome datasets. Design and implement Big Data and machine learning approaches using Python, R
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, equipment setup, and troubleshooting. Practical proficiency in Python, MATLAB, and R is required, alongside experience using MNE-Python, PsychoPy, and Pavlovia. Hands-on experience with Brain Products EEG
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quantitative discipline. You will have experience analysing complex, high-dimensional datasets and applying quantitative or computational methods, together with strong programming skills in Python or a
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 16 hours ago
. The ideal candidates will have experience in general-purpose and scientific programming languages (e.g., R, Python, C) and an ability to communicate effectively and collaborate with a large scientific team
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various data analysis tasks. Your work will focus on carrying out data preprocessing, data wrangling, and carrying out analyses using R (and sometimes Python). An example project you could be working with
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measurement capabilities. Design, implement, and maintain automated experimental systems using MATLAB, Python, LabVIEW or similar software environments. Develop software for instrument control, data acquisition
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to populate a centralized, queryable library or workspace with the platforms of ELSA, Python Vibe Coding, and CDRH-CARS System. This resource will enable reviewers to rapidly surface relevant parameter