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, Python, CUDA o Open CL) -Manejo de sistema operativo Linux • Proficiency with mathematical software tools such as MATLAB • Strong programming skills (proven experience with programming languages such as
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). Conduct in vivo optical imaging experiments on healthy volunteers and patients; Develop image-analysis pipelines (Python, MATLAB) and model functional optical signals; Optimize and maintain the AO-RSO
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dashboards • Design and implementation of a web dashboard for visualizing energy consumption on an urban scale. • Use of tools such as Python (Dash, Flask), JavaScript, Plotly, Mapbox, Leaflet, or equivalent
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designing intuitive user experiences, developing backend services, and supporting data workflows. Emphasizes JavaScript-based UI development, Python, API development, and SQL, with a focus on delivering
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to the University of Gdańsk Remuneration Regulations. COMPETITION DEADLINE: February 23, 2026. Keywords: econometric modeling, statistical tools, computational programming (R, Python), BI methods. REQUIREMENTS
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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). Example projects you will be working
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with the microfluidic live-cell imaging platform and provide Python/Jupyter-based tools for collaborators, contributing to FAIR datasets and open-source software (Co-)Supervise student projects at BSc
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- Programación en Python - Manejo de herramientas de análisis de datos - Experiencia en análisis de datos de redes móviles - Experiencia con medidas de red y datos crowdsourced Specific Requirements - Graduado en
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 12 hours ago
. The full job description is here: https://www.povertyactionlab.org/careers/senior-evidence-scale-manager-j-pal-global-job-105478 Job Requirements REQUIRED: High school diploma and a portfolio demonstrating
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have: Ph.D. in Biostatistics, Statistics, Bioinformatics, Data Science, or related field; with (i). technical skills such as Proficiency in R, Python, or SAS for statistical analysis and modelling; (ii