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" (D2M). This innovative project is a collaboration between the University of Basel, the Bern University of the Arts, and the FHNW. The goal is to develop a highly automated, reproducible pipeline
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to automate bioinformatics process. Designs, develops and deploys robust workflows, as well as custom scripts to support the analysis of high-throughput NGS data. Minimum Qualifications MD or Ph.D. in
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perspectives on large language models Statistical learning theory and complexity analysis Automated theorem proving and formal methods Random matrix theory and its applications in modern AI systems This position
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microscopes, and the unique Aurora robotic battery materials research platform equipped with more than 1500 battery cycling channels and automated workflow and data management capabilities. Empa is committed
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Opportunities to produce high-quality publications Development of multidisciplinary skills in statistical modelling, machine learning, AF imaging and Raman spectroscopy and clinical translation of automated
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to receive applications online. We will update you about your application at various points throughout the selection process, via automated emails from our e-recruitment system. Please check your spam/junk
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) technologies (e.g. Geospatial Analysis, Geocomputation, Spatial Modelling, Robotics, Sensor Technologies, ML etc.) to carry-out rapid, wide-area mapping, 2.5D real-world modelling and highly automated feature
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mathlib) for Automated Discovery in Physics Agentic frameworks (e.g. LLMs with tool-use) for closed-loop idea generation for physics (example here ) Other projects are certainly possible too. In general, we
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from resources like Wikidata or fan wikis. In addition, both the full text and the existing triples can be leveraged for the extension of the knowledge graph via automated reasoning, inferential learning
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Automation group will develop novel machine-learning based control algorithms that allow for real-time adjustment of OSA therapy. The main challenge is to develop robust machine learning algorithm which can