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High Level (e.g. python) programming languages, Databases (SQL), development and maintaining code repositories (version control) Demonstrate Linux expertise including file systems, shell, hardware
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responsible for a small research project or identified parts of a large project Proficiency in scientific programming in one or more languages (must include Python) and an ability to self-learn new technical
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: Proficiency in at least one programming language, with a strong preference for Python. Desirable criteria: Additional experience in machine learning, statistical learning theory or related fields Fluency in
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stakeholders (beyond academia). Experience in membrane handling, CAD and temperature/humidity control is desirable while the ability to code in Python or other related programming languages will constitute a
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tools such as R, Python, or MATLAB as well as relevant machine learning frameworks Experience in statistical data analysis, and expertise in areas such as experimental design, linear/nonlinear models
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journals. Have experience in: (i) integrating single-cell and spatial multi-omics; (ii) computational programming in R, Python (and other common computer languages); (iii) competence/interest in analysing
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bachelor’s degree in Economics or a related field by the start date. Good knowledge of Stata and/or Python is preferred. For further information regarding the skills required for this role please see the
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inversion techniques and signal processing. Strong programming skills, Proficiency in scientific computing (e.g. Python, MATLAB, or similar) for algorithm development and data handling. Experience with sensor
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skills in Python; or experience in at least one of the following: C, C++, Java, R, Matlab, and willingness to learn Python. Experience in working with epidemiological or healthcare (or similar) data
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Overview: We are seeking a part-time researcher (two days a week) to contribute to an integrated aircraft design framework focused on recyclability and remanufacturing. You will extend our Python-based