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Technologies at TUM’s School of Engineering and Design is looking for a doctoral researcher (f/m/d) in the area of Collaborative Machine Learning for the Energy Transition. You are passionate about machine
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 3 hours ago
Posting Description POSTDOCTORAL ASSOCIATE, Mechanical Engineering,will work under the direction of Prof. Sherrie Wang to develop deep learning methods for hyper-local weather forecasting with
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-reviewed publications in leading machine learning and interdisciplinary venues, open-source software tools, and collaborative research initiatives. The successful candidate will also contribute
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of new possibilities for reimagining learning, teaching, and assessment practices. The current developments in machine learning, data analytics, natural language processing, and other adaptive technologies
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, ensuring the preservation of geometric and topological properties. Conduct a literature review on representation learning (SSL, Geometric DL) applied to the sciences. Develop and implement tokenization
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leader in the research project - “Towards adaptative pretrained vision-language foundation models for medical image analysis”. They will be required to: (a) conduct research on individual/collaborative
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-reviewed publications in leading machine learning and interdisciplinary venues, open-source software tools, and collaborative research initiatives. The successful candidate will also contribute
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optimisation before physical manufacturing begins. This project aims to develop advanced deep learning models capable of predicting fabrication outcomes and guiding fabrication recipe optimisation. By learning
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About us King’s College London (KCL) is an internationally renowned university for its excellence in research, education, and interdisciplinary collaboration. The Department of Informatics at KCL
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intelligent human-robot collaborative system with decision-making safety”. He/She will be required to: (a) design and develop robotic experimental platforms, including hardware setup, calibration and system