16 phd-machine-learning positions in Czech

Postdoc and PhD positions in the Development of advanced NMR methods using optimal control and artificial intelligence

processing techniques, supported by artificial intelligence and machine learning algorithms, to streamline the interpretation of spectroscopic data. The research will be carried out in close collaboration

Postdoctoral research position in self-supervised learning in machine perception

, 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

Postdoctoral research position in neuro-symbolic integration and Deep relational learning

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

Industrial PhD Studentship in NMR- and AI-Driven Drug Discovery

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

Postdoctoral research position in Parallel and Distributed Optimization Algorithms for Machine Learning

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

PhD student position in Advanced research in Transport and Logistics with a focus on City logistics - Postdoc or PhD student

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

Postdoctoral research position in Battery Modeling and State Estimation with Emphasis on State-of-Health and Prediction of Remaining Lifetime

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

PhD position in computational biophysics and biomolecular modeling

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

Postdoctoral research position in advanced sensors with neural networks-based edge computing

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

Hybridization of Constraint Programming for Scheduling Problems with Complex Criteria (postdoc)

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