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07.08.2025, Wissenschaftliches Personal The Chair of Strategic and International Management, headed by Univ.-Prof. Dr. Thomas Hutzschenreuter, invites applications as Doctoral Research Associate (m
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State programme promoting young researchers (Tenure-Track Programme). The professorship is affiliated with the department of Medical Systems Biology (https://www.med.uni-wuerzburg.de/en/systemimmunologie
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Research Associates (Doctoral Candidates) (f/m/d) within the Cluster of Excellence “The Ocean Floor"
of marine biogeochemistry, marine geosciences, marine (micro)biology and (paleo)climatology. The cluster offers a versatile qualification program in which doctoral researchers can strengthen their
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, Marine Chemistry, Biological Oceanography, Marine Geosciences, and Marine Observations works interdisciplinary within a joint research program. What will be your tasks? The successful candidate will work
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4 years (full time equivalent) of his/her research career (e.g., after finishing a master’s degree). The candidate must be accepted into a doctoral program. Informal enquiries can be submitted to Prof
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operation, and system reliability. As part of this initiative, 15 early-stage doctoral candidates (DCs) will be trained through a comprehensive, interdisciplinary program spanning material science, device
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digitisation, archiving and utilization programme. Due to an expected broad public and scientific interest in the HEFA, very good communication skills are essential for networking with national and international
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Materials for Efficient Energy Conversion”. The willingness to engage in interdisciplinary cooperation within the framework of other existing research programmes such as SFB 1242, SFB/TRR 247 and IRTG 2D
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very good Master’s degree in Computer Science, Medical Informatics, Business Informatics or a related field. Practical experience as a full-stack developer for cloud-native and/or on-premise applications
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enrolled in a Master’s program in plant sciences, crop science, plant breeding, or a related field. You are interested in fieldwork and data collection. Knowledge or experience with data analysis is an asset