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Field
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developed by the project partners will be based on two key technologies: machine learning algorithms that generate artificial yet realistic data points (synthetic health data) and secure multi-party
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, employing advanced statistical methods and cutting-edge artificial intelligence techniques to uncover novel insights into these complex interactions. As part of this position, you will have the opportunity
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Experience Doctoral degree in Cognitive Science/Psychology, public health, computer science/artificial intelligence (AI), informatics, or a related field required. Qualified candidates must be in the process
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is an exciting, multidisciplinary project that merges spacecraft data with artificial intelligence (AI) to fill observational gaps and tackle longstanding questions on the sources of solar energetic
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language processing, machine learning, artificial intelligence, and human-computer interaction. Established within the School of Computer Science, LTI pioneers innovative ways to understanding, processing, and
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universities, encompassing disciplines such as nanobiology, biophysics and artificial intelligence. This particular project aims to align the development of the synthetic cell with relevant societal values
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chair group lie in artificial intelligence, cheminformatics and computational genome and metabolome mining. Your qualities You are an ambitious, enthusiastic team player and result-driven scientist with
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software tools The development and validation of machine learning and artificial intelligence models focused on representing the structural response Physical experimental testing for structural and
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learning/artificial intelligence (ML/AI) techniques that incorporate uncertainty into visualizations, enhancing the efficiency and reliability of scientific discovery. It also offers exciting prospects
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library design, DNA probe design, DNA based cell staining, multiplexed protein/DNA bioassays, various DNA technologies, PCR, RNA sequencing, microarray-based biosensor, omics data processing, artificial