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Leibniz Institute of Ecological Urban and Regional Development (IOER) • | Dresden, Sachsen | Germany | about 10 hours ago
full-time Programme duration 6 semesters Beginning Other Additional information on beginning, duration and mode of study The programme start for the annual call applicants is 1 March 2026 OR rolling
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its employees in reconciling work and family life and regularly undergoes the audit berufundfamilie® . Further information at: http://www.ifw-dresden.de. The research group "Functional Oxides and
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be given preference if they are equally qualified. Information on job advertisements and the collection of personal data is available at www.uni-heidelberg.de/en/job-market .
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information flows) at various scales and integration levels. Under the umbrella of environmental informatics, the transfer of knowledge about biological, ecological and environmental systems and the system
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duration 6 semesters Beginning Winter and summer semester Additional information on beginning, duration and mode of study Start dates: winter semester: 1 October summer semester: 1 April Please refer to our
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aims to understand how social relationships shape information transfer within groups of ring-tailed lemurs. Individuals within an entire social group will be equipped with tags containing microphones
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screening (Ulrike Haug), prevention and implementation science (Hajo Zeeb, Daniela Fuhr), biostatistics, machine learning, data science and research data management, and causal inference methods (Iris Pigeot
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temporarily and continue with the data entry at a later date. Applications must be submitted by 15 October 2025, 00:00 CET. BerGSAS will invite shortlisted candidates to an online interview within two months
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. Experience in data processing and visualization is an advantage. Experience in conducting incubation experiments and operating instruments for continuous measurement of gases dissolved in water would be
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well as willingness to take part in the organisation and execution of field expeditions at sea are required. Experiences with data processing and visualization are advantageous. We expect very good English language