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learning classifiers and traditional multimedia forensics Robust hash functions for image recognition OSINT and crawling, social media and the dark web / cryptocurrencies Machine learning for data
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spatial transcriptomic and circuit-mapping approaches to determine how molecularly defined neural populations control food seeking, consumption, and satiety. More information can be found at https
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executed, ideally involving 3D image analysis, inverse problems, or physics-informed modeling. Cryo-EM/ET and computational structural biology projects are especially relevant. Discuss results
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Posting Details Student Title Classification Information Quick Link https://chapman.peopleadmin.com/postings/40352 Job Number SE215724 Position Information Department or Unit Name SE- Campus Center
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BC Cancer Research Institute | Northern British Columbia (Fort Nelson), British Columbia | Canada | 16 days ago
candidate’s relevant educ Closing date 20 Nov 2026 Website https://jobs.phsa.ca/job/scientist-cancer-biology-bc-cancer-vancouver View more categories View less categories Discipline Applied Science
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; Outstanding capability to conduct innovative research and potential to become a leader in the field; Excellence in teaching and mentoring graduates; Evidence of international recognition. The basic
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leader in the digital world. We are seeking an Assistant/Associate Professor to join the Signal, Statistics, and Machine Learning [ S2A ] team in the Image, Data, and Signal (IDS) department. You
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Ciência e a Tecnologia, I.P. DOI: 10.54499/UID/00711/2025. Scientific area : Media Arts, Design and Visual Culture. Scientific sub-area : Image Studies, Digital Art, Design, Multimedia, Cinema, Video
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collaboratively, for undergraduate and postgraduate courses; Achieve international recognition and demonstrate leadership in their respective fields through outstanding research; Contribute to
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have a major research mission that focuses on basic, clinical, and translational research on the lung, microbiome, COVID-19, sleep medicine, and allergy and immunology. The Benam Lab (https