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at the atomic scale, using density functional theory-accurate machine-learned potentials and molecular dynamics simulations, in close collaboration with leading European research institutes and steel industry
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your academic career? Your interests lie in the field of machine learning techniques, particularly artificial neural networks, and deep learning? And you would like to continue your research
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). At FSE, over 450 staff members and 3700 students gather to explore exciting interdisciplinary research and educational programmes. Feel welcome, be part of our team and put your brilliant mind to work! FSE
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processing and statistical data analysis. Familiarity with flow modelling techniques (CFD) or machine learning for fluid flows. Aptitude for team work and excellent communication skills in spoken and written
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, and frequency spectrum actively shape the thermal profile. Working at the interface of electrical and thermal engineering, you co-design the power stage and heating mechanism to reach extremely high
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well within our interdisciplinary project. What are we looking for? We are looking for a person who can work at the interface of microbial fermentation technology and real-time data analytics, so that we
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with a great team of top scholars. Where to apply Website https://www.academictransfer.com/en/jobs/363198/postdoc-position-on-multimedia-… Requirements Specific Requirements We are looking for a talented
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films, surfaces, interfaces and optical materials, with strong relevance to high-tech applications and close collaboration with industrial partners. The MESA+ NanoLab provides extensive cleanroom
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seeking a highly motivated Postdoctoral Researcher to join the Machine Learning cluster. The position is part of a research project investigating how visual foundation models can efficiently acquire new
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packaging and e-waste, while Exergy will develop the digital-twin and machine-learning tools that make the process adaptive and scalable. The research effort will be directed towards the selective recovery in