Intern (f/m/d) Law - Framework conditions & risks of web scraping or similar - Forschung, Ingenieur
vor 4 Wochen
At the Institute of Data Science in Jena, we are working on making the data backbone a reality for all DLR application areas (aviation, space, energy, transportation, security). To this end, we develop and research methods in interdisciplinary work with a focus on applications such as sustainable and circular processes, resilient supply chains, data-driven value chains or robust decision support. The methods developed in this way are applied in cooperation with other DLR institutes and external partners, either as part of joint projects or as part of technology transfer activities. What to expect The OpenSearch@DLR2.0 project is developing a DLR search infrastructure consisting of modular components for the acquisition, processing and enrichment of web and research metadata. At the same time, it will integrate new technologies and innovations in the field of internet search and information management. This includes internal and external distributed web crawling, connection to specialised databases, for example in earth observation or research data management, as well as new methods for automatic information retrieval in very large data sets through the use of artificial intelligence (AI) methods. Your tasks To enrich the metadata of websites, the project classifies them based on text content. While pre-trained models for classification into broad categories, such as news or science, are already available, a fine-grained categorisation of websites with thematically similar content is also required. A concept for clustering websites has already been developed for this purpose, which will be further developed as part of the internship programme. Conceptualisation, implementation and evaluation of a flexible classification approach for unsupervised fine-grained classification of websites within a thematic domain Use of software for focussed crawling of websites Analysing the data in terms of information content, for example in the context of critical infrastructures and extreme weather events Documentation of the implemented software and the results Your profile Ongoing studies in computer science, data science or mathematics Planned compulsory internship or final thesis Very good knowledge of Python Quick comprehension with a goal-oriented and independent way of working We look forward to getting to know you If you have any questions about this position (Vacancy-ID 2824) please contact: Jens Kersten jens.kersten@dlr.de
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Postdoctoral Researcher
Vor 4 Tagen
Jena, Deutschland Leibniz-Institut für Naturstoff-Forschung und Infektionsbiologie e. V. – Hans-Knöll-Institut (HKI) Vollzeit**for three years initially.** - Experience in mammalian cell culture, including handling of primary cells, differentiation of iPSCs or similar stem-cell derived models - Experience host-microbe interactions, including knowledge of microbial physiology and mammalian cell biology. - Experience in metabolomics and fluorescence microscopy is an advantage -...
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Postdocs And/or Phd Students Synthea
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vor 2 Stunden
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Jena, Deutschland Huawei Research Center Germany & Austria VollzeitHuawei's vision is to enrich life through communication. We are a fast growing and leading global information and communications technology (ICT) solutions provider. Driven by a commitment to operations, ongoing innovation, and open collaboration, we have established a competitive ICT portfolio of end-to-end solutions in Telecom and enterprise networks,...
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Student Assistant
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Deep Learning Intern for 3D Display Systems
vor 21 Stunden
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Doctoral Researcher
Vor 3 Tagen
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Jena, Deutschland Max Planck Institute of Geoanthropology VollzeitYour tasks Position Overview Work Environment The Max Planck Institute of Geoanthropology (MPI-GEA) was founded in the summer of 2022; it is a dynamically growing, highly-interdisciplinary and international research institution. The research focuses on modeling and analyzing the interrelationships between biophysical and human-made systems, looking from the...