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Germany Application Deadline 25 Jan 2026 - 22:59 (UTC) Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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schemes for qubit production Close collaboration with interdisciplinary teams to further develop quantum computing technologies Documentation and analysis of findings Scientific exchange and presentation
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Nestled in a modern city surrounded by nature and with an exceptional standard of living, Leibniz University Hannover offers excellent working conditions in a vibrant scientific community. The
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Framework Programme? Not funded by a EU programme Reference Number DR/175/25 Is the Job related to staff position within a Research Infrastructure? No Offer Description Faculty of Mathematics and Natural
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qualification (doctorate) Requirements: Completed scientific university degree in geography, (geo)informatics, landscape ecology or comparable disciplines Profound knowledge of GIS software, programming languages
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(e.g. cluster computing under Linux) proficiency in English, both written and spoken (at least C1) German is an advantage strong sense of responsibility, independent work style, scientific curiosity, and
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funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number AN/313/25 Is the Job related to staff position within a Research Infrastructure? No Offer Description
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German Institute for Global and Area Studies (GIGA); | Hamburg, Hamburg | Germany | about 1 month ago
The German Institute for Global and Area Studies (GIGA) / Leibniz-Institut für Globale und Regionale Studien is an independent social-science research institute based in Hamburg. It analyses
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Application Deadline 14 Oct 2025 - 23:59 (Europe/Berlin) Type of Contract Temporary Job Status Part-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference
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in group meetings and at conferences. Your profile Education: Ph.D. in Materials Science, Physics or a closely related field. Computational Depth: Demonstrated experience with first-principles methods