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- Lodz University of Technology
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candidate will focus on developing algorithms that enable the fitting of glycans and other flexible protein regions into low-resolution areas of cryo-EM maps. Working in close collaboration with
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The Institute of Theoretical and Applied Informatics of the Polish Academy of Sciences | Poland | 4 days ago
Systems Group. The selected candidate will conduct research focused on the development of physics-inspired algorithms, quantum computing using tensor and neural networks. The position does not include
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: Conducting research in the field of determining the technical condition of aircraft structures, with particular emphasis on non-destructive testing. Development of test programs, methods, algorithms and
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description participate in developing the theoretical framework and research tools participate in designing the data
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will join an international and multidisciplinary team and will work in the project which aims to develop an innovative, modular, and partially bioresorbable wound filler for Negative Pressure Wound
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back more than 75 years. It is an attractive partner for business. It cooperates with the largest national and international corporations. It conducts research of a European standard, develops new
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gradient flow methods hold significant potential for the development of sampling algorithms. The research goals are structured into the following primary tasks: Parameter identification: The problem
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back more than 75 years. It is an attractive partner for business. It cooperates with the largest national and international corporations. It conducts research of a European standard, develops new
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Warsaw University of Technology/the Centre for Advanced Materials and Technologies, CEZAMAT | Poland | 4 days ago
) of the CEZAMAT Center of Advanced Materials and Technologies, Warsaw University of Technology. The successful applicant will lead WorkGroup 4 (Terahertz Devices & Systems) with objective to develop prototypes
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: variational formulation of neural network learning convergence of Langevin Monte Carlo algorithms Dissemination of research results through participation in scientific conferences, presentations, and