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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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University of California, Los Angeles | Los Angeles, California | United States | about 20 hours ago
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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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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biology or a closely allied discipline along with experience in creating, writing, enhancing, and running code in R/Python, using and developing microfluidic devices and advanced imaging. You will have
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, finance or computing science/natural language processing/machine learning. Preference will be given to those who are proficient in Python, adept at processing large-scale data and have worked with large
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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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of the AAA ATPase p97: Disentangling the Continuous Conformational Variability in Partially Symmetrical Complexes. Int J Mol Sci. 2024;25. https://hal.science/hal-04519643 - Programming in Python and 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