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-world actions. This is an exciting opportunity to contribute to foundational work at the intersection of AI safety and autonomous system deployment. You will be responsible for designing experiments
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6,500 people supporting the three main missions of the institutions: education, research and innovation. The EPFL campus offers an exceptional working environment at the heart of a community of more
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leading role in the social science, stakeholder engagement, and science communication activities of the project, contributing to the co-design, evaluation, and uptake of an innovative Knowledge-to-Action
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National Energy Technology Laboratory (NETL) | Morgantown, West Virginia | United States | about 2 months ago
stronger and we’re united in fostering inclusivity in all aspects of our research to drive innovation and deliver solutions for an environmentally sustainable and prosperous energy future." In your
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to detect diagnostic patterns. Design approaches for extracting and normalizing clinical phenotypes from unstructured medical records from the hEDS*Omics Study and international cohort studies. Compare AI
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. The applicants should have demonstrated the ability to teach competently and to publish internationally. The position requires fluent skill in English. Finnish and other language skills are considered a merit
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your assignment will be spent on academic research. Synthesizing existing literature Designing learning experiments Collecting data from adults and children Performing data analyses Writing scientific
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duties to this position. Focus of Job Responsibilities Experimental Design and Therapeutic Evaluation – 60% • Conduct in vitro and in vivo studies to assess the efficacy of novel therapeutic targets
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Intelligence and Machine Learning. Join a team of scientists at the leading macromolecular crystallography beamlines, the crystallization laboratory, the computing center and contribute to science projects
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, cell culture, and microbiological assays. Plan, conduct, and analyze scientific experiments, including statistical evaluation of experimental data. Contribute to the preparation of scientific