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hardware avanzadas basadas en FPGA. Intregación hardware/software utilizando C/C++, Python. Despliegue de sistemas empotrados utilizando Linux. Implementation of advanced FPGA-based hardware solutions
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. The students will be expected to code in Python to control the LEDs, camera, motors and perform image analysis. Student are expected to then perform original research with their newly built cameras either in
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program at UPM and in the time of the contract will be registered for the TFG. The applicant's academic record, knowledge of electronic devices , software and Matlab/Python programming will be taken
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create meaningful reports to drive informed, effective decisions is required. The ideal candidate will be fluent in using statistical coding languages such as Python, R and SQL to query large datasets from
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or developing and validating patient-reported outcome measures; (c) proficiency in statistical software such as R, Stata, SAS or Python for advanced modeling; and (d) good publication record in peer
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. Job summary The Research Assistant will support development on the SEAL application, primarily coding sections of the user interface. Code will be written in Python and will follow coding and archiving
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). Assist in the preparation and streamlining of Python-based materials, including notebooks, assignments, and grading scripts. Help modernize homework assignments and project guidelines to incorporate
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Process, analyze, and visualize mass spectrometry-based proteomics data (DDA, DIA, SILAC, single-cell proteomics). Develop and maintain reproducible computational pipelines using Python, R, and shell
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. Preferably at least 3 years relevant working experience. Proficient knowledge in quantitative and qualitative analysis. Proficiency in programming languages such as Python. Proficient with using databases and
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services such as UM-GPT, OpenAI, Claude, and locally hosted research models. The position focuses on developing automation and data workflows using Python, JavaScript, SQL, and Bash while supporting internal