42 algorithm-development-"Multiple"-"Prof"-"Prof"-"University-of-Wisconsin-Madison" positions at KTH Royal Institute of Technology
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focus on digitalization and sustainability. The project will investigate how digital tools and sustainable working methods can change construction economics and urban development. A central theme is the
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systems that strive to better recapitulate human physiological function in vitro – to further our scientific understanding, and to advance real-life impact in medical and therapeutic development. As part of
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environmental aspects of Silicon Valley-based general-purpose AI systems developed by Big Tech companies, specifically examining how companies' actions relate to their environmental impact. The research will
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Swedish research council for sustainable development. The work will be supported by an international scientific advisory group. What we offer A position at a leading technical university that generates
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Job description We are looking for a postdoctoral fellow to develop and
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to the development of methodologies for modelling, predicting, and validating dynamic interactions through numerical simulations and field measurements. This project is funded by The Swedish Transport Administration
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like to work at KTH and our benefits . Qualifications Requirements A doctoral degree or an equivalent foreign degree Preferred qualifications Experience in developing and participating in research
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research and publication list. You have well developed analytical and problem-solving skills. We see that you have very good knowledge of the English language, such as written and oral skills since
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on processing and developing representation models for diverse data sources, including time-series data (EEG, video, mass spectrometry) and chemical data (molecular graphs, SMILES strings) related to odorant
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innovative green chemistries . The main aim of this research project is to develop protein-based catalysts that are new to nature. The research area for the PhD student includes de novo protein design, AI