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: https://uni-tuebingen.de/en/213700 Please submit your entire application using the web-based application platform https://berufungen.uni-tuebingen.de. The deadline for applications is 26 February 2026
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, including experiments at the local tandem accelerator facility as well as at national and international research infrastructures (https://ikp.uni-koeln.de/groups/wimmer/join-us ). YOUR TASKS » Participation
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opportunity for you to learn German! The historic city of Göttingen, located in the heart of Germany, offers great outdoors and cultural opportunities, a vibrant student scene, and an impressive scientific
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or academia. Qualifications The candidate will hold a Masters in Chemical, Process, Environmental Engineering, or equivalent, and is a naturally curious person who is eager to learn more and has a strong
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(RCB), the research focus “Ribonucleases” (https://go.ur.de/rna-biologie ) and the Regensburg Center of Ultrafast Nanoscopy (RUN) also provides a wide range of opportunities for collaboration. Active
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Max Planck Institute for Solid State Research, Stuttgart | Stuttgart, Baden W rttemberg | Germany | about 1 month ago
willingness to learn new tools. Experience with content management systems (CMS) is an advantage. Open-minded and comfortable working with diverse cultures and communication styles. Highly flexible, reliable
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allowance Scholarship holders are also invited to apply for different Summer Schools in Germany (four weeks) Further Information about the Universidad Nacional San Juan http://www.unsj.edu.ar/ Further
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pangenomics), quantum-based simulation methods for drug design, or quantum machine learning for large omics datasets. The candidate is expected to have acquired first teaching experience, and first experience
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23 Dec 2025 Job Information Organisation/Company University of Siegen Research Field Computer science » Computer architecture Researcher Profile First Stage Researcher (R1) Positions PhD Positions
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existing technologies, right through to the tested prototype. The Data-based Methods team at Fraunhofer ENAS develops real-world applications using AI, machine learning and computer vision. The main focus is