36 phd-studenship-in-computer-vision-and-machine-learning positions at Linköping University
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performance in organic electronic and electrochemical devices. Multiscale simulation and integration of machine learning: Use molecular dynamics, quantum mechanical and continuum models, in combination with
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with machine learning and generative AI algorithms, with working knowledge of deep learning frameworks such as PyTorch or TensorFlow is considered a strong advantage. • Extensive experience in multi
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need Requirements for the position are: A doctoral degree in a relevant field including experience of high-performance computing, machine learning or artificial intelligence A strong track record of
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sciences in carrying out concrete AI projects. This includes compiling, organizing, and sharing key datasets, assisting with resource allocation proposals, conducting machine learning workflows, and
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science in carrying out concrete AI projects. This includes compiling, organizing, and sharing key datasets, assisting with resource allocation proposals, conducting machine learning workflows, and
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application! Work assignments Subject area: Computational studies of the influence of microstructural features on the structural integrity of metallic materials using machine learning Subject area description
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and activities connected to our PhD program. In addition to producing individual research, the applicant is also expected to interact with existing researchers within the department, and to contribute
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construction, logistics strategies, urban development projects, third-party logistics, and sustainability aspects. As a senior associate professor in construction engineering, you will also teach at both
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construction, logistics strategies, urban development projects, third-party logistics, and sustainability aspects. As an associate professor in construction engineering, you will also teach at both undergraduate
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NAISS, the National Academic Infrastructure for Supercomputing in Sweden, provides academic users with high-performance computing resources, storage capacity, and data services. NAISS is hosted by