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(Python, C) and computer-aided omics approaches (transcriptomics, RNA imaging), as well as pathway modeling, are highly desirable. Specific Requirements Microscopy (live and fixed tissues); computer-aided
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the development of compact device modeling, SPICE simulation and with programming skills in general programs such as python, Matlab or similar. Experience on memristors is also acknowledged. Experience in circuit
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or proficiency command of Python, Matlab, Stata, R, QGIS. Version control and debugging is a plus. Language: Advanced or proficiency level in English, both spoken and written. Expected remuneration Annual gross
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Schools (or similar training activities) specialized in these fields of at least 30 hours: 10 points each. -- Same as above, lasting at least 15 hours: 5 points each. A.5. Demonstrable knowledge of Python
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in data analysis in the field of biomedical research (0 to 10 points). ▫ Experience in handling and organizing genetic data (0 to 10 points). ▫ Development of programs in R or Python for research (0
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/Qualifications Deberá acreditar conocimientos en: Programación en C/C++ en plataformas Linux y Windows, Python, Java, JavaScript. Configuración de proyectos con CMake. Conocimientos de boost, QT, Typescript
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mandatory) Interés en modelos generativos (difusión, flows, VAEs, etc.) / Interest in generative models (diffusion, flows, VAEs, etc.) Competencias de programación en Python / Programming skills in Python
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. Recognised Researcher position has been opened. The ideal candidate holds a master's-level background in robotics, AI or related fields, with strong Python/C++ skills and experience in machine learning
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, or programming. The selected candidate will join the undergraduate teaching team and may teach introductory and advanced courses such as: Programming I (Python) Programming II (C or other low-level languages) Data
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, numerical methods, or Geant4 / Monte Carlo simulations. Proven experience in scientific software development using C/C++, Python, MATLAB, CUDA, and/or other relevant programming tools. Demonstrated ability