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Field
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, such as Matlab, Python, R, Stata and GIS. Preference will be given to those with experience in handling large-scale gridded datasets (e.g., spatial panels and raster data) and proficiency in Python for data
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analysis using Python, MATLAB and/or LabVIEW. Integrate experimental and numerical findings to establish performance benchmarks, identify promising design directions and produce practical design guidelines
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, statistics, and programming languages such as R, Matlab, or Python are highly desirable. Requirements: Candidates should have completed (or be completing) a doctoral degree in psychology or cognitive science
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such as Python, R, MATLAB, or similar - Strong attention to detail and written communication skills - Proficiency with Microsoft Excel, Word, and PowerPoint - Attention to Detail - Self-motivated with
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research supervision, during this appointment. Key attributes of the successful applicant include: Strong coding skills (e.g., MATLAB) Advanced statistical experience An excellent publication track record
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and programming skills, namely in the use of MATLAB and Python. Candidates who do not meet these requirements will be excluded. Additional optional skills and qualifications: Proven experience in
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assays such as light/dark, von Frey, and facial grimace. Additionally, the successful candidate must possess technical proficiency in MATLAB and Python for data analysis and processing Duties to include
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issues. Proficiency in urban modeling tools such as MATLAB, Python (especially libraries like Pandas, NumPy, SciPy, GeoPandas, etc.), and R. Advanced skills in predictive modeling and machine learning
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of project deliverables Where to apply E-mail ramon.martinez@upm.es Requirements Research FieldEngineeringEducation LevelMaster Degree or equivalent Skills/Qualifications -Uso de Matlab para comunicaciones y
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and perform simulations using established software like MEEP and COMSOL, as well as custom-written code based on languages like C++, Python, Matlab Lead papers and publish in high-impact journals