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, geoinformatics, Data Science (Natural Language Processing), computational linguistics, taxonomy (especially entomology), or ecology with strong data skills Experience with text mining of scientific and historical
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. Equally qualified applicants with disabilities will be given preference in the hiring process. The University of Tübingen is committed to equal opportunities and diversity. It therefore takes individual
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-edge Machine Learning applications on the Exascale computer JUPITER. Your work will include: Developing, implementing, and refining ML techniques suited for the largest scale Parallelizing model training
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effect on assembly and collaborate to quantify the effect on optical properties. Our goal is to self-assemble NPLs into 1D, 2D and 3D superstructures and understand how ligand shells affect the process
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corpora data correlation. Requirements: A master’s degree in Computational Linguistics, Computer Science or related fields. Solid background in Machine Learning and Natural Language Processing Experience
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any specific questions about the position, kindly contact Prof. Dr. Marco Thines at marco.thines(at)senckenberg.de For data protection information on the processing of personal data as part of
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selected will be deleted after the completion of the selection process.
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specifically encourages women to apply. For questions regarding the position, please contact Dr. Wiebke Szymczak Email: Wiebke.Szymczak(at)iwh-halle.de Phone: +49 345 7753 862 Application procedure Please apply
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worldwide, taking on strategic responsibilities in the setup, operation, and coordination of experiments. Their strong contribution to data analysis, student supervision, and the dissemination of scientific
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | 3 months ago
our jobs website . Online applications will be accepted by the automated system until 10pm of the closing date. Any queries regarding the application process may be addressed to jobs@lshtm.ac.uk