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knowledge of Ancient Maya epigraphy. Experience in a research library, archive, special collection, museum, or comparable environment. Strong computer skills, including experience using relational databases
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scientists, statisticians, and NHS partners. You will also represent the project at local, national, and international meetings, events, and conferences. Based at King’s College London, you will be expected
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interdisciplinary team of engineers, computer scientists, and life scientists Regularly participate in international conferences to present your own work, and learn about state-of-the-art machine learning and
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the department's PhD program in Management (specializing in Strategic Management: https://strategy.univie.ac.at/phd/) envisaged starting date: 15 June 2026 (for a total duration of 4 years; Initially limited to 1.5
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human-computer interaction, as well as participate in the full range of faculty responsibilities, including scholarly research and service to the University. Applicants should possess a PhD degree in
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per semester in EUR None Combined Master's degree / PhD programme No Joint degree / double degree programme No Description/content In autumn 2003, the Center for Infection Biology (ZIB) launched
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[map ] Subject Areas: Mathematics; Physics; Astrophysics; High Performance Computing; Machine Learning Appl Deadline: 2025/12/16 04:59 AM UnitedKingdomTime (posted 2025/11/20 05:00 AM UnitedKingdomTime
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subjects, including Programming, Algorithms, Computer Logic and Architecture, Web and Mobile Development, Human-Computer Interaction (HCI), Green and Sustainable Software Engineering, Software Engineering
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, administrative and technical support functions, along with good employment conditions. More information about the department is available at: https://www.umu.se/en/department-of-computing-science/ . Project
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hematology ● Knowledge in clinical analysis ● Knowledge in statistics ● Knowledge and experience in handling biological samples ● Knowledge of activities inherent to AEQ programs ● Good computer skills from