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Expertise: Familiarity with supervised/unsupervised learning (regression, classification, clustering), ensemble methods, and deep learning architectures (CNNs, RNNs). Experience with explainable AI (e.g
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structures and reinforcement learning methods for optimizing the structures. The outcome from the models will be tested in experimental setups requiring deep understanding of protein chemistry and molecular
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of start date) Key Qualifications Experience with deep learning frameworks, especially PyTorch, and with high-performance computing environments Experience with multi-GPU training and distributed computing
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., deep learning methods, multimodal AI) for the automatic identification of behavioral cues during ecological interactions with people and the environment and analyses of video and speech/language data
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Learning for Medical Imaging and Multi-Modal Data in Cancer Research Apply for this job See advertisement About the position Position as PhD Research Fellow in Deep Learning available at the Department
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Experienced in A.I., Deep Learning, and Simulations. Physical Requirements & Working Conditions Degree Requirement Listed degree qualification is required at time of application Posting Information FLSA Status
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information about us, please visit: www.dbb.su.se . Project description The candidate will develop machine learning (ML) strategies, primarily revolving around interpretable ML and generative AI, to study
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Research Framework Programme? Not funded by a EU programme Reference Number EU-59005 Is the Job related to staff position within a Research Infrastructure? No Offer Description AI and Deep Learning
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McLellan, the Postdoctoral Research Fellow supports high-quality, clinical and applied research projects within the Lifespan Health and Wellbeing Research Centre and School of Psychological Sciences
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hands-on experience in areas such as computer vision, deep learning, multi-modal sensing, robotics, structural health monitoring, or digital twin technologies. (Fresh PhD graduates are welcome