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- Autonomous University of Madrid (Universidad Autónoma de Madrid)
- UNIVERSIDAD POLITECNICA DE MADRID
- Centre for Genomic Regulation
- Computer Vision Center
- Fundació per a la Universitat Oberta de Catalunya
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- Institut d’Investigació Biomèdica de Girona Dr. Josep Trueta (IDIBGI-CERCA)
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environments. Specific Requirements Dominio de lenguajes de programación (Python, R, SQL u otros similares) y experiencia con pipelines de datos, APIs y entornos de servidor. Se valorará experiencia previa en
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quantitative data analysis. Strong programming skills in Python, including the development of reproducible data-analysis pipelines. Experience coordinating research or data-analysis tasks across projects. Strong
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automated liquid-handling workflows on an Opentrons Flex platform (Python API). Establish and run spatial proteomics on in vitro co-cultures, engineered 3D tumor models and tissue sections. Implement clonal
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data and scientific software (OriginPro, R, Python or equivalent). Participation in competitive research projects. Applicants must demonstrate proficiency in English (minimum B2 level
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scientific programming in Python and the use of frameworks such as PyTorch or TensorFlow. It is also necessary to have experience in federated learning and deep learning applied to medical imaging, as
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or equivalent Skills/Qualifications - Conocimientos demostrables de Python, Matlab, SageMath y MySQL. Nivel avanzado Specific Requirements - Máster en matemáticas y/o ingeniería computacional - Doctorado en
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. Experience in magnetic confinement plasmas is desired Expertise in plasma control Proficiency in commonly-used programming languages, e.g. FORTRAN, C, IDL, Python, Matlab Experience developing software
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practical knowledge of statistical and programming packages is mandatory, including R, Python, and/or SQL. Extensive experience with advanced statistical techniques and algorithms, such as Machine Learning
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related quantitative discipline. Strong programming skills in Python for scientific computing and reproducible research. (Optional) Experience in time-series analysis, with explicit attention to intraday
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inference methods (e.g., fixed effects, IV, DiD) Advanced regression techniques - Strong programming and analytical skills (R, Stata, Python, Mplus, or similar). - Evidence of research productivity or strong