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- Czech Technical University in Prague
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, or related fields and a proven track record relevant to the topic - publications in top journals or conferences (e.g. computer vision (CVPR/ICCV/ECCV), machine learning (NeurIPS/ICML), or robotics (ICRA, IROS
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to program distributed and shared memory algorithms, as well as use the new IPU technology. These algorithms will be applied to a range of applications ranging from machine learning for public health
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or more publications in a journal with IF. The postdoc is expected to advance the state of the art in neuro-symbolic machine learning (i.e., learning combining the principles of deep learning and logical
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to offer 1 year internship for a machine learning pioneer, whose task will be to verify the usability of machine learning / LLM for aiding support and evaluation tasks. Team of software engineers located in
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Decision-Making, Deep Learning, Machine Learning, Global Information System, etc.) combining literature analysis, case studies, collaborative design, simulation modelling and real-world piloting. The initial
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qualifications are not mandatory, but will certainly be advantageous: - Previous experience in molecular dynamics simulations. - Basic knowledge of NMR. - Prior experience in Machine Learning/Deep Learning
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CP solvers that can lead to better performance while sharing the objective value and no-goods among heuristics and CP workers. We expect to explore utilizing machine learning (ML) in search algorithms
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modeling. State estimation will employ control engineering methods, such as Kalman filters, and may alternatively explore cutting-edge machine learning techniques. The development of models and estimation
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the position. They should be interested in biomolecules, capable of formulating mathematical models, and motivated to learn new things. Moreover, they should possess good computer skills and be fluent in English
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modern machine learning techniques. We are a diverse team of computer scientists, physicists, mathematicians, and engineers dedicated to understanding visual perception and its restoration via neuro