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in numerical methods and programming (e.g., C++, Python). Experience with DEM, multiphysics coupling, or reactive transport is a strong advantage. The position offers a dynamic research environment
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collating and managing data with version-controlled programmatic workflows in R and/or Python, including large volumes of high-frequency sensor data and model outputs; working with investigators to design and
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Qualifications Cont Experience with one or more of the following tools: Python, C#, PowerShell, Power BI, SAS, Stata, and Web technologies Experience performing core DBA responsibilities, including: Permissions
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Synapse, Azure Data Factory, and Microsoft Fabric, along with an understanding of Spark, is desired. Experience with tools such as with Python, C#, Powershell, Power BI, SAS, Stata, and Web technologies
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. Experience of cell-based methodologies, RNA/DNA extraction, imaging-based assays, high performance computing, coding in python/R are essential for the position. What will you get in return: Fantastic market
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experience writing in C++ and Python, using libraries including CUDA, ROS, ROS2, PyTorch, etc. You will be able to create and debug large software projects, and can write interfaces to integrate sensors
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models. Strong programming proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow). Familiarity with modern speech libraries (e.g., Hugging Face, Whisper, Wav2Vec). Experience with
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-tuning using modern frameworks. Software Engineering Excellence: Demonstrates expert-level Python skills and a strong commitment to Software Engineering best practices, writing code that is clean, modular
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/Deep Learning frameworks such as PyTorch. Writing production level code in Python and using version control systems such as Git. Strong written and verbal communication skills. Independent learner
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Python, Matlab, Java o C/C++. Se valorará experiencia en la utilización de paquetes de programación para optimización matemática (GAMS). Se valorará contar con conocimientos sobre arquitecturas abiertas de