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, optimization, and continuous learning in a rapidly evolving field.Desirable: experience with multi‑omics datasets, single‑cell or spatial technologies, or basic scripting skills (R/Python). Our offer Access
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development, optimization, and continuous learning in a rapidly evolving field. Desirable: experience with multi‑omics datasets, single‑cell or spatial technologies, or basic scripting skills (R/Python). Our
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methods for building and validating communication and/or information theory. Candidates must have experience with computational techniques using R or Python and the ability to teach courses in computational
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technology policy, depending on the research focus Experience using common research and instructional tools, including: Programming and analysis tools (e.g., Python, MATLAB, GitHub/GitLab) Learning and
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of medical databases. Design, implementation, and testing of deep learning and AI algorithms for processing tabular, genomic and signals (including speech and audio). Where to apply Website https://www.uam.es
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of previous outputs and professional development. C5 Proficiency in programming with Python, C++, and familiarity with AI frameworks. C6 Good understanding of WSI formats and tools (OpenSlide, QuPath
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open-source software packages and set up computational pipelines. As a bio-informatics research lab, we publish software packages in Python and R for specific, cutting-edge analysis of large-scale
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(e.g., Python, MATLAB) Practical experience with laser optics, vacuum technology, cryogenics, and FEM simulations is highly desirable Proactive working style with high level of commitment in solving