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Field
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. The project will produce open-source software packages for Python and/or R, as well as user-friendly web applications aimed at practitioners across healthcare, finance, and industrial engineering. This is a
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partners. The postdoctoral researcher will also contribute to teaching in areas such as Machine Learning, NLP, AI for Education, Explainable AI, and Python-based applied seminars, supporting course
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, performance analysis and optimization. Demonstrated capability to conduct innovative research. Proficiency in basics of programming languages such as C, C++ and Python. Ability to initiate collaboration
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(LCC/MCC) (job scheduling, file transfers, storage organization, best practices). Develop and maintain reproducible analysis pipelines (e.g., Bash, Python, R, workflow tools; version control with Git
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/ experience in audiovisual immersive communications. Medium / high level in C/C++/C#, Python and Unity. Fluent Spanish and good written and spoken English. Interest in working in advanced audiovisual
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, graphs); experience with analysis and processing of large volumes of data; development of reproducible scientific software; proficiency in Python and libraries (Pandas/NumPy and PyTorch/TensorFlow/Scikit
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Python and R; - Demonstrable experience with Machine Learning; - Excellent problem-solving skills and the ability to work both independently and as part of a team. This position is for full-time, on-site
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of mRNA or expression libraries lead in vivo studies, including delivery, tissue collection, phenotyping, and downstream analysis integrate and analyse multimodal datasets using Python or R to inform
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and discuss scientific literature Collaborate with group members in analysis and interpretation Qualifications: Requires strong python programming and communication skills Experience and education: BSc
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experiment codebases (prefer Python). Apply causal inference and discovery frameworks to clinical questions. Translate proposed methods and frameworks into real-world clinical workflows. Contribute to grant