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Field
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of machine learning-based automated ultrasound video analysis models that incorporate temporal reasoning. The research will also include work that aims to understand how human behaviour may change with
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, machine learning systems, model merging/fusion or related areas; (b) strong self-directed learning ability; and (c) commitment to open, reproducible and ethically responsible AI research. Applicants
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Max Planck Institute for Solar System Research, Göttingen | Gottingen, Niedersachsen | Germany | 22 days ago
of meteorites as well as numerical modeling on state-of-the-art supercomputers. We invite applications for a Postdoctoral Position (m/f/d) in machine learning for PDEs and turbulence control. Machine learning
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to join an advanced research project at the intersection of quantum computing and machine learning, focused on developing scalable and coherent training methods for quantum models. This project tackles
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such as Wazuh and MXOC Apply advanced machine learning techniques (e.g., reinforcement learning, generative AI, and interpretable AI) to enhance system adaptability and performance Collaborate with industry
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intelligence, and multimodal learning. The main objective of this position is to develop novel generative AI methods for computer vision applications, with a particular focus on Diffusion Models and Vision
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) to develop accelerated AI, machine learning, and robotics algorithms with a strong focus on computational efficiency, memory reduction, and energy-aware deployment. The role targets foundation models
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Do you have a strong technical background in Machine Learning and Numerical Modelling? Are you interested in working with industry to develop Machine Learning methodologies and protocols needed
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practical, effective, and scalable solutions. The two positions serve complementary but distinct functions within the project. One position focuses on the application of machine learning models for designing
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artificial intelligence tools for medical imaging. The role will support the design of deep learning and predictive models for tumour segmentation, cancer detection, risk prediction, and outcome modelling