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meteorology Programming experience (Python, Matlab, etc.) Willingness to learn new technical and communication skills Preferences Experience interrogating and/or visualizing meteorological data Experience with
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Programming experience (Python, Matlab, etc.) Willingness to learn new technical and communication skills Preferences: Experience with web development Experience interrogating and/or visualizing meteorological
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, engineering, or a related field Proficiency in at least one programming language (Python, R, C++, Julia, …) Good analytical skills with a sound understanding of data evaluation Prior experience with single-cell
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of Microcomputers, Introduction to Computer Information Systems, Introductory Programming in Python, and Data Analytics Courses. Required Qualifications Candidates must hold a minimum of a Master’s degree in the
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learning, deep learning, and statistical inference Experience with frameworks such as TensorFlow, PyTorch or Keras Experience with programming languages such as Python Full command of English (English level
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rheometry of polymer melts Troubleshooting of various polymer processing methods in the context of the circular economy Control engineering and automation; programming in Python, MATLAB, etc.; basic knowledge
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include: -Other experience in mass spectrometry -Strong statistical and analytical experience with data treatment -Coding experience in either R or Python -Other experience in analytical chemistry and/or
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mandatory) Interés en modelos generativos (difusión, flows, VAEs, etc.) / Interest in generative models (diffusion, flows, VAEs, etc.) Competencias de programación en Python / Programming skills in Python
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: Proficient with mass spectrometry, quantitative proteomics, cell surface proteomics, concepts of automated sample preparation, scripting with R and/or Python. Preferred Education: Master's degree If any degree
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minimum pay as determined by rank and/or step at appointment. See the following table(s) for the salary scale(s) for this position https://www.ucop.edu/academic-personnel-programs/_files/2025-26/policy