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Evaluation, analysis, and visualization of data Documentation of laboratory work Collaboration with project partners and regular presentation of results Your profile: M.Sc. or a degree in a natural science
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Veterinärmedizinische Universität Wien (University of Veterinary Medicine Vienna) | Austria | 14 days ago
Main Research Field: Data Science, Data Visualization, Interactive Systems Where to apply E-mail bewerbungen@vetmeduni.ac.at Requirements Research FieldMedical sciences » Veterinary medicineEducation
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staff with excellent interdisciplinary knowledge and specialized, state-of-the-art expertise in software engineering, computer visualization, and data science. As a faculty member, the applicant is
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to apply Website https://www.tesaf.unipd.it/ Requirements Additional Information Eligibility criteria The selection takes place through the evaluation of the titles, scientific and professional CV and
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assistant positions in the Eviction Lab. Successful candidates will have a background in quantitative social science, economics, statistics, data science, and/or computer science. The Eviction Lab
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the development and monitoring of ETL workflows, and support interactive dashboards and geospatial visualizations to communicate results to stakeholders. Responsibilities include: implementing data science
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, Southeast Asia, and the Netherlands. For more information, see here: https://cordis.europa.eu/project/id/101230109 Details: 1x Postdoc in History of Science or Digital Humanities Information on Call and
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/InstituteLuxembourg Institute of Science and TechnologyCountryLuxembourgGeofield Contact City Esch-Belval Website http://www.list.lu/ Street 5, avenue des Hauts-Fourneaux Postal Code L-4362 E-Mail jobs@list.lu STATUS
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postdoctoral fellow position in the Ponce Lab at Harvard Medical School in Boston, Massachusetts. The work of the Ponce Lab is focused on how populations of neurons in the primate visual system encode and
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. We welcome applicants from a wide range of disciplinary backgrounds, including but not limited to digital humanities, data science, computer science, information science, media studies, visual culture