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Basic knowledge of Linux, Python, or C++ Department Preferences: Preferred major within Atmospheric & Geographic Science or related field, such as Computer Science, Engineering, or Physics Scripting
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Minimum Qualifications Undergraduate student who wants to learn about data preprocessing and machine learning tasks Strong attention to detail and basic experience with Python or R are preferred Bowling
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platform and provide Python/Jupyter-based tools for collaborators, contributing to FAIR datasets and open-source software (Co-)Supervise student projects at BSc, MSc, and PhD level Write research articles
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learning pipeline in Python (using e.g. PyTorch) - validation of your results in collaboration with colleagues from various application areas (cross-disciplinary) - publication and presentation of your
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Deutsches Zentrum für Neurodegenerative Erkrankungen | Bonn, Nordrhein Westfalen | Germany | 1 day ago
presentations and publications within the scope of the own professional field of activity Master’s degree in data science, informatics, neuroscience, or comparable qualification Previous experience in Python
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, quantitative image analysis) Computational skills in data processing and statistical analysis; experience with sc/snRNA-seq, NGS, metabolomics, proteomics datasets (R/Python) is highly desirable Demonstrated
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information about the network: https://euraxess.ec.europa.eu/jobs/401249 1. Context and Challenges Title: Physics-Informed Neural Operators (PINO) for Ultra-Fast Tomography: Toward Fundamental and Generalizable
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statistical analysis software (R, Python, SPSS, or similar) preferred Experience with data modelling or database design preferred Position Type Temporary Additional Information Northeastern University considers
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The opportunity The University of Liverpool is a key partner in a £14 million initiative (https://tinyurl.com/yc5z768m ) to develop a sustainable, next-generation manufacturing facility, using
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related to development environments such as Python and PyTorch, as well as existing libraries for predictive maintenance. The research will also extend to digital vision systems that may be used to broaden