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Field
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polarisation shaping, and finally using deep learning to solve the complexity challenge associated with coherent beam combination. The role Within HiPPo, your specific task will be to develop a ‘digital fibre
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and the ability to publish high-quality academic outputs. You are expected to have proven experience in developing and applying predictive deep-learning models for data-driven analysis and forecasting
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leader • Excellent written and oral communication skills Preferred Qualifications • Background in antisemitism studies • Experience with R, NLP and deep learning libraries • High performance computing
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laboratory equipment and instruments. We are looking for: Ph.D. in Chemistry, Material Sciences, or a closely related field. Deep knowledge of solid-state chemistry and rechargeable lithium battery chemistry
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The candidate will be expected to work on a project in collaboration with Schaeffler to conduct research on “collision monitoring and control system of cobot based on fiber optic sensing and deep
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). The ideal candidate brings a strong machine learning foundation, curiosity about sound and music computing, and enthusiasm for collaborating with PhD students and postdocs. You will help combine individual
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universities. Provide assistance to maintain laboratory equipment and instruments. We are looking for: Ph.D. in Chemistry, Material Sciences, or a closely related field. Deep knowledge of solid-state chemistry
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scientific leaders and researchers. Job responsibilities The project aims to advance the use of machine learning techniques to model and understand plasma turbulence in magnetically confined fusion plasmas
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that research delivers against their requirements. Qualifications: APhD in Computer Science/Computer Vision/AI or a closely related field. Extensive research experiencein machine learning, deep learning, and self
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) Mentor undergraduate and graduate students with their projects and teach how to use new instrumentation. 8) Contribute ideas for new research projects. 9) Stay informed of new literature related