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Python), and also leading junior colleagues to integrate novel software components to existing infrastructure. This role will contribute to ideating new research questions and integrating projects and team
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new theoretical approaches for understanding stability, generalization, and feature learning in large-scale neural networks. Further details and application instructions are available at: https
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of experience developing in Python, including type annotations, packaging, dependency management, logging and error handling Extensive experience using Docker and Docker Compose for development, testing and
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@upm.es Requirements Research FieldEngineeringEducation LevelBachelor Degree or equivalent Skills/Qualifications Nivel demostrable de programación en Python, Ontologias, aprendizaje máquina e inteligencia
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related to air quality and greenhouse gases. Scientific programming in Python, R, Fortran, MATLAB, or similar languages. Duties and Responsibilities Develop and lead independent research in data
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across the ML-Ops and Bioinformatics fields. We expect good software development skills in a least one language regularly used in scientific computing (i.e. Julia, Python, etc) and you should have an
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numerical simulations and analytical calculations, (iii) data analysis by programming, e.g. python and matlab, (iv) help and guide of Ph.D students in the team, (v) writing research reports, publishing
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formats – see the course webpage to find out about the format. Information on this PCE Specialization may be found at https://www.pce.uw.edu/specializations/gis-spatial-analysis-with-python-r. UWC2
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degree in hydrology, environmental sciences, climate sciences, or a closely related field. We seek candidates with strong skills in programming (e.g. R or Python), statistics, risk assessments, and data
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of years post-PhD, and benefits can be found at https://postdoc.hms.harvard.edu/guidelines . With this appointment, you are represented by the Harvard Academic Workers (HAW) – UAW for purposes of collective