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Experience with programming languages (HTML, CSS, JavaScript, Python scripting). Experience with servers (Linux, Nginx) and networking. Special Instructions to Applicants Chapman University is an equal
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or solar-planetary science, with demonstrable expertise in imaging or spectroscopy of auroral emissions. Strong programming skills (e.g., Python or C++) and experience with space-based data analysis
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or virtual mentorship sessions. Perform data cleaning, exploratory analysis, and visualization using R and/or Python. Communicate findings clearly and effectively to technical and non-technical audiences
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qualifications as specified by the Principal Investigator. PREFERRED QUALIFICATIONS: Familiarity with optical design, image processing, or instrument prototyping. Programming skills in MATLAB, Python, or LabVIEW
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: · MATLAB · Python · ROS · Computer vision and/or YOLO · Pytorch and/or Tensor Flow · LiDAR · GIS · GNSS receivers Minimum Qualifications: Doctoral degree in Mechanical Engineering, Electrical Engineering, or
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networks for multimodal image analysis will be essential, as well as expertise in Python and C/C++ for scientific computing, and in ML/DL frameworks like TensorFlow, PyTorch, Keras, and Scikit-learn. A
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or experience of using Stata, R, Python, or similar. Knowledge of C++ would be advantageous but not essential. Ability to communicate complex information clearly. Excellent ability to work as a team and
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of R or Python), along with writing, presentation and communication abilities. Prior experience working with computing clusters or remote servers is desirable. The fund would be available from 1st
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sufficient specialist knowledge in transcriptomics and NGS sequencing as well as the essential computational skills (R, Unix or Python) to develop research programmes in this area, and familiarity with
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learning libraries and toolkits comfortably Strong software development skills with programing experiences in Python, C++, and/or Fortran Good communication and writing skills in English. Desirable