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Research Assistant Position: Development of Rail Roughness Measuring Technique and Big Data Analysis
on machine tools and in the field of production engineering. Recent topics of research focus on novel technologies such as additive manufacturing, Artificial Intelligence (AI), Machine Learning (ML), Big Data
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May online via Zoom. The project Papyri preserved by the dry climate of Egypt are an unparalleled source of information about the Ancient World. However, their large number, diversity and current
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: Collection of large scale administrative and survey data Managing, cleaning, and creating raw data sets Managing and coordinating two large-scale projects with a large research team and various policy
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physiological sensors, and manage the data streams and data archive that originate from these sensors. The second task is to perform original research at the experimental site in physiological plant ecology
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in: Collection of large scale administrative and survey data Managing, cleaning, and creating raw data sets Managing and coordinating two large-scale projects with a large research team and various
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Institute for Research in Biomedicine, Università della Svizzera italiana | Switzerland, | Switzerland | 3 days ago
) to the study of immune response. The position offers a unique opportunity to engage in cutting-edge research applying large language models (LLMs) for antibody discovery. Funding and Duration The project is
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20 Apr 2024 Job Information Organisation/Company Empa Research Field Chemistry » Other Engineering » Materials engineering Physics » Other Researcher Profile Recognised Researcher (R2) Country
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, is leading the development of ROOT , an open-source framework for storing, processing, analysing and visualising of data at Exabyte scale. ROOT is a large scientific code base and an open-source
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interdisciplinary collaborations with several groups in the ETH domain, at the national level (for example, the NCCR Microbiomes ) as well as international partners and large research consortia. We are seeking a
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out qualitative interviews and analyzing a large panel data set, including collaboration with other NCCR Automation researchers. Continuing your education/training (e.g., taking courses on research