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modernization. Key Responsibilities Lead design and delivery of enterprise-grade data pipelines (ETL/ELT) using SQL/Python, supporting high-volume, high-complexity healthcare data. Build and optimize a modern
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Fundación para la Investigación Biomédica del Hospital Gregorio Marañón (FIBHGM) | Spain | 1 day ago
signal and image processing, machine learning, deep learning, robotics, and 3D design, with proficiency in programming languages such as JavaScript, R, Python, Matlab, or SQL. • Proven research experience
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on cochlear nucleus and brainstem circuits using Neuropixels electrophysiology and two-photon imaging. Develop and apply custom computational pipelines (e.g., Python/MATLAB) to analyze large-scale neural
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of programming languages such as ROS and Python Excellent communication skills, written and verbal – able to communicate complex concepts clearly and accurately We regret to inform you that only shortlisted
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, data analysis, or construction/material-related projects is preferred. Familiarity with Python, MATLAB, R, or machine learning workflows will be advantageous. Experience in literature review, data
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for education requirement. Preferred: Proficiency with R and at least one additional coding language (e.g., Linux, Python) Comfort with data management, quality control, and standard practices Proficiency with
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and immunoflouresence. Experience with microscopy Experience with computer programming for data analysis, including MATLAB and/or Python. Ability to maintain a clean and organized work area Ability
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connaissance du traitement du signal et des communications sans fil (propagation RF) Expérience des systèmes embarqués et de leur implémentation en temps réel Maîtrise de la programmation (ex.: Python, C/C
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) Item 03: Proven experience in data handling using R, Python, MATLAB or similar and knowledge or specific training in artificial intelligence for data mining (punctuation: 20) Item 04: Proven experience
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also code in R and Python, all of which will lead to their work on developing their own research question, running data analysis, writing an abstract and presenting a poster. Additional Information