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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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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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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
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to candidates with knowledge of Python programming. Applications must be exclusively submitted on the admissions platform of the Instituto Superior Técnico at https://fenix.tecnico.ulisboa.pt/fenixedu-admissions
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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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python and bash, processing of sequencing data, sequence database construction and maintenance, molecular phylogenetics and evolutionary analysis. Informal enquiries should be directed to Dr Victor
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presentations and draft sections of research papers Location: Department of Economics, Harvard University, Cambridge, MA Supervisor: Professor Gita Gopinath, website: https://gopinath.scholars.harvard.edu