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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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AI|ffinity s.r.o. and University of Chemistry and Technology (UCT), Prague. | Czech | about 1 month ago
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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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 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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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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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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or conferences. The ideal candidate will have good skills in microcontroller-based embedded system design and neural networks-based machine learning. Successful applicants will also have the opportunity to co
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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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, bioinformatics, computer science or related fields Python programming skills and experience in software development Knowledge of statistical data analysis and machine learning approaches Basic organic or medicinal