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for energy trading based on the peer-to-peer concept; (2) carrying out a comprehensive review of the scientific literature to identify state of the art forecasting models, with particular focus
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Description We are seeking an exceptionally motivated and ambitious Postdoctoral Researcher to join our team at the Neuro-Immuno-Oncology and Cell Therapy group (https://kinderkrebs-forschung.de/en/research
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to identify those most at risk from extreme heat, as well as offering personalized adaptation advice --- translating rich multi-modal data into interpretable, scalable prediction and advising models. ICARUS
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-radiative (CR) models coupled with non-intrusive measurements of emission spectra of the plasma (1,2). This approach is appealing because it makes it easier to obtain a detailed description of the plasma. In
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by Renew Risk Ltd. (https://www.renew-risk.com/ ), offering opportunities to work with real offshore wind farm models and industrial datasets while addressing real-world challenges in collaboration
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Professor Kilian Huber (University of Chicago) to implement new AI methods for the study of firms’ cost of capital based on textual analysis. The project uses large language models and other AI tools
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captured from UAVs. The research will address the design of AI models capable of combining heterogeneous sensor modalities, including RGB, thermal, LiDAR, acoustic arrays, GPR, and X-ray backscatter
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? Do you like studying physical systems with wide impact in society? Then, this PhD position is ideal for you! Information This PhD project aims to develop advanced fluid models for low-temperature
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lung fibrosis. The ideal candidate will independently perform studies utilizing established in vitro, ex vivo and in vivo preclinical models and will have the opportunity to develop and refine novel
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agenda on multimodal and multilingual language models. The successful candidate will focus on the development of multimodal, multilingual resources and on the design and evaluation of methods that leverage