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vision, yet their ability to acquire new expertise remains limited when training data is scarce or specialised. This project aims to develop the next generation of adaptive visual learning systems by
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The University of Nevada, Reno (UNR) appreciates your interest in employment at our growing institution. We want your application process to go smoothly and quickly. Final applications must be
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genes, individuals and populations, to communities and ecosystems. We work within ecology, evolution, physiology, systematics and combinations of these fields in order to understand the impact of natural
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skills in English, including evidence of independent manuscript or thesis writing. Ability to work both independently and collaboratively in an international, interdisciplinary team. Commitment to open
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language. Ability to work both independently with minimal supervision and in a team setting (collaborative in nature) Excellent written and verbal communication skills (must be able to present project ideas
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research. We advance the understanding of dynamic processes to address global challenges, from mitigating the impacts of natural hazards and sustaining our habitat amid global change to responsibly managing
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collaborate with partners at ELLIS Institute Finland. Target publications at top-level AI, ML, and NLP venues. Who we are looking for Requirements Ph.D. in Machine Learning, Natural Language Processing
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-disciplinary domain. Specific research topics to apply to bioacoustics might include: low-footprint machine learning; acoustic signal processing enhanced by ML; human-in-the-loop/active-learning methods
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antiretroviral therapy (ART) failure and adherence. This research uses longitudinal data from the Veterans Aging Cohort Study (VACS), and the Mt. Sinai HIV cohort, combined with novel natural language processing
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application consists of: An application Transcript(s) – For this opportunity, an unofficial transcript or copy of the student academic records printed by the applicant or by academic advisors from internal