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interest in the visual arts and a serious interest in pursuing a career in conservation science. The Fellowship runs from September 2026 to August 2028. In addition to an annual stipend and health insurance
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automating geospatial workflows. Proficiency with GIS tools (e.g., QGIS, ArcGIS) for spatial analysis and visualization. Experience developing statistical or machine learning models to estimate fuel moisture
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, and statistical analysis. Proficiency in data analytics, visualization. Proficiency in at least one of the following programming languages: R or Python. Proficiency in Microsoft Office (including
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analysis techniques, including space syntax, isovist measures, and visual complexity assessments. The successful candidate will work closely with researchers at Cambridge and ETH Zurich to quantify spatial
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visualization. Preparing scientific reports and peer-reviewed publications. Presenting research findings at national and international conferences. Required Education: PhD in Engineering Desired Education: PhD in
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, prognosis, and subphenotyping. Contributing to study design, choice of analytical methods, and methodological development. Visual presentation of analyses and results, as well as writing scientific
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, visualization). Record of peer-reviewed publications commensurate with career stage and strong scientific writing skills. Ability to work collaboratively with community partners and an interdisciplinary team
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Biology at Texas A&M University is seeking a Postdoctoral Researcher to work on questions involving (1) The evolutionary drivers of avian visual systems, foraging behavior, and sensitivity to Anthropogenic
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the preparation of technology transfer and valorization steps. • Software development (Python, PsychoPy, real-time analysis and visualization tools). • Integration of acquisition modules (EEG, fMRI
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in Python, PyTorch/TensorFlow, and medical visualization tools (e.g., 3D Slicer, ITK-SNAP, MONAI...). - Mastery of deep learning platforms Tensorflow/Pytorch/scikitlearn - English: high level Website