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, Doctorat industrial, iPFIS, AGAUR, etc. More information about our group: https://vhir.vallhebron.com/ca/recerca/recerca-biomedica-en-ginecologia Main responsibilities and duties: Contribute to translational
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possible. For further details, visit https://sdonglab.org/ . The initial appointment is for one year, with the potential for extension depending on regular progress evaluation and continuation of funding
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solutions to collect data from external sources • Clean, transform, and integrate data into relational databases • Work with scripting and programming languages (e.g., Python, SQL) to automate data workflows
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possible. For further details, visit https://sdonglab.org/ . The initial appointment is for one year, with the potential for extension depending on regular progress evaluation and continuation of funding
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knowledge of signal processing, imaging, electronics, instrumentation, or medical device-related development. Hands-on experience in programming, preferably in Python, MATLAB, C/C++, or similar environments
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, the HybridNetLab, the QCILab, our SW Simulators, and our facilities. For further information, you may refer to https://www.uni.lu/snt-en/research-groups/sigcom/ . Your role The successful candidate is expected
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, AWS, Azure, or comparable technologies. Proficiency with scripting and automation using tools such as Python, Bash, or similar scripting languages. Working knowledge of identity and access management
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charging technologies Experience in modelling and simulation using Python Knowledge of optimisation methods, energy systems, or smart charging concepts is advantageous Experience with data analysis and
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of experience: Programming experience of which includes SQL, C+ and/or Python with at least 2 years directly working with biomedical data or structured electronic health record (EHR) data including extracting
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, such as model evaluation and data pipelines, and their applied forms, including training, fine-tuning, and deployment of models using frameworks such as PyTorch or TensorFlow. Solid proficiency in Python