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change You will work on the design, simulation, and testing of digital control concepts (e.g., using MATLAB/Simulink or Python) You will implement these on FPGA boards and evaluate them in terms
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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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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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to learn robotics or human-centered research methods will also be considered. Experience with programming languages (particularly Python), deep learning frameworks, and robotic simulation platforms (ROS
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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
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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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discipline. Strong programming skills in C, C++, and Python. Experience with software design, development, debugging, testing, and maintenance in Linux-based environments. Experience using version control
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | about 15 hours ago
knowledge to the field regarding how neurons and circuits give rise to thoughts and behaviors. REQUIRED: High School diploma; familiarity with coding (Python or Julia); strong debugging skills; familiarity
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with: Code maintenance and development (Python): Refactor and document code and keep the codebase maintainable and aligned with project goals. Testing: Try test cases, evaluate the performance Data