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; survey development and deployment (REDCap); and data cleaning, visualization, and analyses (R and/or Python). Ability to travel to our field site in Eastern Indonesia and work with our Indonesian-based
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, or human-centered ML. ●Proficiency in programming languages (e.g., Python) and ML frameworks (e.g., TensorFlow, PyTorch), with evidence in the form of public (Github) repository. ●Excellent abilities in
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 2 months ago
geospatial data processing and python programming. Candidates should also have knowledge of optical, lidar, and ground penetrating radar sensing systems and understanding of pavement structures and condition
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Familiarity with brain imaging analysis acquisition Knowledge of multivariate statistics and/or digital signal processing Proficiency in Python. Parallel computing processing experience is highly appreciated
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). Proficiency in Python and experience with R/Seurat or Scanpy. Strong skills in writing efficient, reproducible, and well-documented code. Evidence of productivity through first-author publications or preprints
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 16 days ago
Experience in programming in a science context (e.g. LabView, Matlab, Python, Arduino), and data analysis and visualization (e.g. Origin, IgorPro) Point of Contact Mikeala Eligibility Requirements Degree
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in C++/Java/Fortran 90, Python/MATLAB, and MPI-based parallel computing Strong publication record as first author in peer-reviewed journals Preferred qualifications Experience with 3D conjugate heat
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analysis skills using Python, MATLAB, or similar platforms. Excellent written and oral communication skills. Motivated self-starter with the ability to work independently and to participate creatively in
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experience in a plant breeding program Proficiency in programming languages such as R and Python Familiar with bioinformatics tools Experience in analyzing genomic data Primary Responsibilities: Supporting and
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following areas: automated controls, SLAM, autonomous navigation, or trajectory planning. Experience integrating hardware, deploying, and evaluating algorithms on physical robots. Proficiency in Python