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technology, transparency, and digital trust. The project addresses the need for best practices and standards for navigating AI-generated content, with a focus on transparent, open, and distributed academic
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, advanced AI algorithms, and decision-support tool development. Responsibilities will include programming, analysing and interpreting data, and contributing to innovative solutions that support maritime
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that amplify human potential. The successful candidate will engage in innovative research projects in ML, focusing on developing novel ML algorithms, enhancing human-AI collaboration, and exploring systems
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associate will work both independently and collaboratively to develop and apply novel deep learning algorithms and/or computational chemistry methods for small-molecule drug discovery targeting RNA
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optimization algorithms for complex trial design spaces. Required qualifications: A PhD or equivalent doctoral degree in biostatistics, statistics, applied mathematics, operations research, computer science
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in innovative research projects in ML, focusing on developing novel ML algorithms, enhancing human-AI collaboration, and exploring systems tailored to dynamic, human-centered environments. They may
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from the source. In the SOURCE-FFR impact study, we investigate the granular distribution of ultrafine particles around the airport of Frankfurt and look for possible long-term health effects. We run
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experiment or another collider-based high-energy physics experiment Experience with silicon detectors, Trigger/DAQ systems, or detector operations Experience in software and computing, including distributed
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highly motivated researchers in all areas of the field, including but not limited to: quantum algorithms and complexity; quantum information theory; quantum cryptography; quantum information in many-body
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behind the establishment of cell type specific histone modification distributions, using pooled perturbation screening. You will work primarily with mouse embryonic stem cells (mESCs) and gastruloid