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of high-dimensional data (e.g., single-cell RNA-seq, phylogenetics, spatial data) Experience in R or Python Application instructions: Please send a CV, a brief cover letter describing your research
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and data analysis using at least one of MATLAB, Python, or R is required. Certifications/Licenses Required Knowledge, Skills, and Abilities Enthusiastic, curious, and having excellent communication
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microscopy). Experience in programming for hardware control and data analysis, e.g. using Python, is a clear advantage. We offer DTU is a leading technical university globally recognized for the excellence
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application. Proficiency in programming languages such as Python, C, C++, and deep learning libraries like PyTorch or similar. Demonstrated ability to work in a team-oriented software development environment
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
), especially using Google Earth Engine (preferred). - Proficiency in Python, JavaScript, or R for geospatial analysis and modeling. - Experience handling large-scale Earth observation data, including cloud-based
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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | about 2 months ago
, turbulence, atmospheric flows, meteorology. Knowledge of programming languages such as Python, MATLAB or C++. Ability and desire to work in a diverse and international team. Good command of English. German
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experiments Documented expertise in data analysis using scripting (ideally python-based) Experience carrying out SAXS/WAXS experiments at large scale facilities Working experience with soft matter and/or
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specialist knowledge in mechatronics design and control, and proven programming experience in Python, MATLAB or C/C++. Informal enquiries may be addressed to Professor Liang He (email: liang.he@eng.ox.ac.uk
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skills Competency in or willingness to learn process-based modelling Strong data management skills and proficiency with analytical tools e.g. Matlab, R, Python Previous experiences with eddy covariance
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experience in machine learning methods, tools, and platforms. Proficiency in Python, with demonstrated software development experience. Hands-on experience in MLOps, including the design and deployment