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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | about 2 months ago
deep learning (x/f/d/m) Background With the project Deepcloud, we will leverage the machine-learning revolution to understand clouds and their role in the climate system. We aim to train a deep learning
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this position, please contact Anu Khara, Manager, Learning Design and Innovation, anuradha.khara@utas.edu.au . Please visit https://www.utas.edu.au/jobs/applying for our guide to applying and details
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 22 hours ago
), with evidence in open-source code or deployed tools. - Solid programming and ML/NLP engineering skills in Python or ideally modern deep-learning stacks (e.g., PyTorch/JAX, HuggingFace/Transformers
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learning architectures, addressing both Parameter-Efficient Fine-Tuning (PEFT) regimes and full end-to-end fine-tuning workflows. Where to apply Website https://www.unimore.it/ Requirements Additional
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Computer Engineering. Expertise in computer vision algorithms and image processing techniques (such as object detection, segmentation, and feature extraction). Proficiency in deep learning frameworks such as
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, application of validated radiological scoring systems, development and validation of AI-based models for automated image analysis, and dissemination of scientific results. Where to apply Website https
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-2027 academic year to teach in our baccalaureate and graduate programs, including: · BS in Public Service and Public Policy · BS in Emergency Management and Homeland Security
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learning community where young people see aspects of their backgrounds and identities reflected around them, where they feel a deep sense of belonging, and where they discover and use their voices to full
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future. Fueled by curiosity and a deep sense of duty, they contribute invaluable insights to research and teaching, enriching our society. Are you inspired and driven by the desire to make a meaningful
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scientific curiosity. You thrive at the boundary of robot learning, computer vision, deep learning, and simulation, and you are excited to see your research running on real robots. You communicate clearly