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programming skills are required and strong experience with the Python library JAX would be a plus. Experience writing and publishing academic papers. Please see job description for a full list of requirements
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, R/Python) is welcome We offer: A dynamic, interdisciplinary service platform environment embedded in Germany’s leading Life-Science campus Access to cutting-edge instrumentation (timsTOF fleX MALDI-2
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 24 days ago
validation; proficiency in Python and scientific computing, including experience with finite element methods, preferably using FEniCS or DOLFINx; strong analytical and communication skills, with the ability
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Max Planck Institute for Nuclear Physics, Heidelberg | Heidelberg, Baden W rttemberg | Germany | 13 days ago
data analysis techniques Experience of instrument development, calibration, and/or data analysis development Willingness to travel (desirable) Experience of data analysis using python The position is
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experience in relevant area. Knowledge or interest in Natural Language Processing, ideally as applied to big biomedical data. Programming using one or more of the following: Python, R, Javascript. Clinical
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ecological systems. • Knowledge of urban ecosystems and urban ecology is preferred. • Experience with R, Python, or other programming languages, as well as QGIS/ESRI spatial software. • Experience working with
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simulations and/or computational modeling in optics ¿ Experience in optical instrumentation development with user interface (GUI) programming in C#, Python, or LabVIEW ¿ Experience mentoring student researchers
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score derivation and validation, and other relevant analyses. Develops R or Python scripts for data analysis, statistical modeling, and machine learning techniques, ensuring reproducibility and efficiency
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reduction, uncertainty quantification, machine learning, fluid mechanics. Experience with scientific object-oriented programming languages (C++, Python, or Julia) is highly relevant. Knowledge
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dynamics. Geo-spatial data handling skills (GIS, scripting, working on NetCDF files etc). Use of Linux machines and compilers, basic scripting in bash and python. Pre- (e.g. mesh generation) and post