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language such as Python or Node.js) would be a plus. The candidate must be able to implement production-ready solutions in adherence to strict timelines, ensuring that deadlines are met, and that
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will require a strong interest in experimentation, reproducibility of results, and reading scientific papers. Good programming skills (in practice Python) are expected, as well as a genuine interest in
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Django Python development. Experience with VCS, preferably Git. Advanced skill level in CSS, HTML5, and JavaScript. Knowledge of MVC and responsive web designs. Knowledge of application testing and
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architectures (e.g., convolutional neural networks or transformers); deep specialization is not required. Exposure to Generative AI concepts and large language models (LLMs) is a plus. Proficiency in Python
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referencia. Habilidades de programación en Python y plataformas de aprendizaje profundo como PyTorch. Habilidades de comunicación oral y escrita en inglés. PhD degree in computer science, electrical
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their results in the context of the clients. Analyses will be conducted with several software packages for statistical data analysis (possibly including R, SAS, Python, …). The new colleague may acquire new
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Actuators, using the two main existing methodologies. Carry out the experimental implementation of plasma actuators in wind turbines. Where to apply Website https://seuelectronica.upc.edu/en/procedures
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: Experience with Django Python development. Experience with VCS, preferably Git. Advanced skill level in CSS, HTML5, and JavaScript. Knowledge of MVC and responsive web designs. Knowledge of application testing
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. Main tasks Study the existing Matlab code and understand the underlying MCR-ALS workflow Translate and implement the method in Python in a way that is compatible with SasView Investigate how the new
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the consortium Your Profile: Excellent Master and subsequent PhD in computer science, engineering, biophysics, applied mathematics, computational biology or a related field Proven programming expertise in Python