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or equivalent Skills/Qualifications Conocimientos de programación (Python). Empleo de herramientas de modelización numérica geotécnica (FLAC, PFC). Specific Requirements Conocimientos en Ingeniería Civil
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to interdisciplinary discussions Office, GIS (Arc/Q), R, Python (basics) English, Spanish (Italian, German, Dutch, Polish beneficial) Strong experience with spatial assessments. Early leadership experiences at junior
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candidate: -a current student of industrial engineering or industrial design -familiarity with CAD design, 3D printing -knowledge of programming language (C,C++ or Python) -familiarity with microcontrollers
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of software (dependencies, containers such as Docker/Apptainer, reproducible environments). Programming and task automation (scripts in Python/Bash or similar). Good practices in technical documentation and
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@upm.es Requirements Research FieldEngineeringEducation LevelBachelor Degree or equivalent Skills/Qualifications Nivel demostrable de programación en Python, Pythorch, Ontologias, Federated Learning
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Research Centre for the Management of Agricultural and Environmental Risks (CEIGRAM) - Universidad Politécnica de Madrid (UPM) | Spain | 27 days ago
FieldChemistry » OtherEducation LevelMaster Degree or equivalent Research FieldEnvironmental science » OtherEducation LevelMaster Degree or equivalent Skills/Qualifications Experience in programming (R or Python
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, religiosity, trust in local leaders). The candidate will be supervised by Prof. Francesco Ferlenga The successful applicant should have: Proficiency in programming languages (Stata, R, Python, …), excellent
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skills in Python and/or R. Experience with Google Earth Engine. Ability to work both independently and collaboratively in an international research team. Ability to write and communicate in English
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. Further develop of Matlab and Python codes for medical image analysis. Perform advanced statistical analysis using RStudio. Where to apply Website https://jobs.vhir.org/jobs/7291134-predoctoral-researcher
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/ programming; Python highly desirable (or proven expertise in other languages). 3. Solid knowledge of statistical methods and data analysis. 4. Prior research experience with Machine Learning is a valuable asset