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. software and parallel computing is required. Skills in data processing and visualizing the results of quantum-chemical simulations are strongly desired. The candidates experienced in software
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the use of crystallographic software and data processing pipelines Experience working with computation clusters and managing large datasets Proven ability to develop, maintain, and optimize scientific
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revolution in the field of legged robotics and their successful custom deployment in various applications. Project overview The aim of this project is to develop a software framework for AI based Holistic Co
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, and an excellent command of English, both oral and written. Below are seen as merits Extensive practical experience and knowledge in the use of crystallographic software and data processing pipelines
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Engineering (Marine Technology profile) and the Nordic Master in Maritime Engineering. The research group consists of senior researchers, postdocs, and PhD students. During the project, the postdoc will also
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relevant) and needs to be passionate about research. Experience in usage Gaussian, ADF, Dalton, ORCA etc. software and parallel computing is required. Skills in data processing and visualizing the results
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digital twin environments and validation frameworks to ensure reliable, secure, and reproducible deployment processes. The project is carried out in close collaboration with Ericsson and Arctos Labs
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reproducible deployment processes. The project is carried out in close collaboration with Ericsson and Arctos Labs, offering a unique opportunity to conduct cutting-edge academic research while working directly
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processes. A demonstrated interest in data visualization and large-scale data analysis is highly desirable. The ideal candidate will have a keen interest in understanding complex biological systems
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The applicant is required to have a PhD degree in Software Engineering with a focus on Model-Driven Engineering and AI. The applicant must have completed the degree no more than three years before the end