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on the basis of the regulations on the recognition of academic degrees obtained abroad (learn more about the procedure for the recognition of academic degrees: https://nawa.gov.pl/en/recognition/recognition
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their effectiveness remains limited by the inherent constraints of fuzzing techniques. As an alternative, we propose exploring reinforcement learning (RL) as a promising approach for vulnerability assessment in SoCs
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Natural History. The researcher will develop deep learning models to predict individual bee age based on wing morphology. This model will be trained of existing wing images and applied to images of museum
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. The post will be primarily based at Guy’s Campus. The successful candidate will work closely with Professor James Arnold (https://www.linkedin.com/in/james-arnold-1a0497263/ ) to support and further develop
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learning. The purpose of the position is to develop the independence as a researcher and to create the opportunity of further development. The postdoctoral position is proposed around the following project
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e.g., ultra-cold gases of bosonic or fermionic atoms, machine learning technologies and quantum computing. At the same time, we work in close connection with IJCLab experimentalists, particularly
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co-operation with other universities/institutes and/or industry. Presently, our group consists of 1 Professor, 1 permanent researcher, 5 Postdocs and 8 PhD students. About the research project You will
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. Required PhD in Computer Science / AI / Machine Learning Strong publication record in AI, ML systems, or related areas Strong programming skills in Python, C/C++ and experience with PyTorch, TensorFlow, JAX
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). The work will involve the analysis of archival biological material from past experiments and ongoing observational studies. Where to apply Website http://www.ucc.ie/en/ Requirements Research
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–functional modeling of root system architecture. Phenomics data integration and high-dimensional trait analysis. Predictive breeding and quantitative genetic modeling. Machine learning approaches to genotype