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funding/ securing grants REQUIREMENTS: Doctorate/PhD in life sciences, human medicine or related fields Successful postdoctoral experience in the area immunology or cancer immunology including excellent
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public Participation in PRIF’s self-governance institutions Applicants should fulfill the following requirements: An above-average doctoral degree in political science, China studies, security studies or a
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. Our program focuses on understanding hostpathogen interactions across species (mice, chickens, pigs, dogs) using well-established viral (e.g., Marek's disease virus, Theiler virus, Hepatitis E
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Bewerbungsende: 29.09.2025 VOICES is a multidisciplinary project in history, computer science, and engineering that studies testimonies of Holocaust survivors. For this, it uses computational
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, investigates how children and adults actively seek, select, and evaluate information to learn about the world. The lab combines behavioral, computational, and cross-cultural approaches to study curiosity
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the scientific landscape of the institute. You will be part of an innovative project in the field of High Performance Computing, with an emphasis on scientific work rather than client project work. All five team
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, Computer control of measuring equipment and data acquisition, Ultrafast dynamics, X-ray spectroscopy, Ultra-high vacuum technology. Applications should be sent by e-mail, together with significant documents
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Carl von Ossietzky Universität Oldenburg | Oldenburg Oldenburg, Niedersachsen | Germany | 2 months ago
Hours Per Week 40 Offer Starting Date 1 Dec 2025 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research
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Status Full-time Hours Per Week 40 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No
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for safety-critical bilateral teleoperation. The research will leverage a combination of passivity-based control methods and machine learning techniques to enable reliable and robust teleoperation in uncertain