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- Centre for Genomic Regulation
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of Hamiltonians. Requirements: PhD in physics or electrical/ mechanical engineering. Knowledge andprofessional experience: Knowledge of quantum mechanics,DFT simulations, programing machine learning tehcniques
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environments You have proven experience in applying statistical methods to large datasets. Familiarity with methods in machine learning and/or statistical inference is desirable but not essential Experience in
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to address research hypotheses. The candidate will apply machine learning models to clinical and omics data for classification tasks. The candidate will also acquire knowledge to analyse spatial transcriptomic
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++. Experience with Machine Learning and Deep Learning frameworks (TensorFlow, PyTorch, Keras). Knowledge of Edge Computing and embedded systems (Nvidia Jetson Nano, Raspberry Pi). Experience in computer vision
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systems, robotics, machine learning, computer vision, natural language processing, biometrics, medical imaging, social computing, and AI hardware. CASIA is the first national research institution to carry
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Supercomputing Center Access to a network of top European scholars Job requirements: We are looking for a candidate with a strong background in Machine Learning and sensibility for social and legal issues. More
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· To learn and develop new research skills outside own discipline · Any other reasonable duties commensurate with the post that may be requested You should hold a PhD in pharmacy, biomedicine, neuroscience
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Fundacio de Recerca Clinic Barcelona-Institut d'Investigacions Biomediques August Pi i Sunyer | Spain | about 1 month ago
at least one of these areas: method development, imaging data analysis and deep learning models, multimodal data integration, machine learning models to predict therapy response, and/or explainable AI
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employment contract within the framework of a Line of Research R&D line: Machine learning for the development of predictive artificial intelligence models. https://www.upv.es/entidades/SRH/conypi/U0971369.pdf
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quantum environments, algorithms, quantum Machine learning , etc. Guide the writing of articles and possible dissemination activities related to the different quantum computing projects. Participate in