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assistant for a PhD in the field of AI for processing and analyzing text-based data in education Full-time, temporary for 3 years, salary according to EG 13 of the collective agreement for the public service
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10.10.2022, Wissenschaftliches Personal For our team, we are looking for a full-time PhD candidate on the topic of “Geolocation text embeddings for social media data”. About us The TUM-Professorship
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at the interface of data science and the scientific domains pursued at the three participating Helmholtz centers. Methodologically, a broad range of topics is covered, from large-scale data management to data mining
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project Like to read and write technical texts in English Enjoy working with undergraduate students Are persistent and willing to work several years of your life on a project that many people will never
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yearsAre creative and able to come up with fresh ideas to address technical challengesLike to write code and will not be afraid of a large software projectLike to read and write technical texts in
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Brandenburg University of Technology Cottbus-Senftenberg • | Cottbus, Brandenburg | Germany | 1 day ago
growing centre of brown coal mining. Today, Cottbus is in the midst of a structural transformation. The BTU supports this development with its engagement in the Lausitz Science Park megaproject, which aims
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, medical informatics, databases, data mining, machine learning, applied mathematics, biomedical modelling and analysis of complex networks. Joint data science projects between the different partners
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regulatory processes. Develop analysis pipelines for pre-processing, normalization, and statistical modeling of high-throughput sequencing data. Integrate and mine public datasets to complement in-house
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, model data integration, data mining, land surface models, ecosystem fluxes, isotope methods, biodiversity, organismic interactions, biological mineral formation, paleoclimatology, micropalaeontology and
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pipelines for pre-processing, normalization, and statistical modeling of high-throughput sequencing data. Integrate and mine public datasets to complement in-house generated data and extract novel biological