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Job Offer from July 31, 2025 We are currently seeking a highly motivated PhD student or Postdoctoral researcher to join our department at the Max Planck Institute for Sustainable Materials (MPI Sus
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PhD Student / Postdoctoral Researcher (gn*) Molecular Biology Reference Number: 10836 Fixed term of 3 years | Full- or Part-Time (65% or 100%) | Salary Grade TV-L E13 | Centre of Reproductive
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help! We have several fully-funded open PhD and Post-Doc positions (m/f/d, E13 TV-L) in our group - which just moved from the Max Planck Institute in Erlangen to the University of Tübingen, one
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Division of Pediatric Hematology and Oncology, Department of Pediatrics and Adolescent Medicine, Medical Center – University of Freiburg offers the position of a PhD candidate or Postdoctoral
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review). Requirements: PhD in History Desirable: - relevant knowledge in Holocaust Studies - Previous experience in the digital humanities - Previous experience in knowledge transfer - Knowledge
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Helmholtz-Zentrum Berlin für Materialien und Energie | Berlin, Berlin | Germany | about 20 hours ago
project activities and writing reports Your Profile MSc or PhD in a relevant field Experience with Machine Learning modeling Coding experience, preferably Python Basic knowledge of databases tools and
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review). Requirements: PhD in Psychology, Gender Studies or film studies Desirable: - relevant knowledge in trauma studies - Knowledge in the field of qualitative methods of interview evaluation
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applicant will have good communication and organisational skills and a PhD in a relevant area (or be in the final stages of completion). Candidates are expected to be highly motivated and to work
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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | 10 days ago
research team. The ideal candidate should have: A PhD/DPhil degree (or comparable) with a background in theoretical physics, applied mathematics or related disciplines from a recognized university; Prior
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to other organoid and tissue models Your Profile: PhD in electrical engineering, automation, robotics, computer science, or a related field, with evidence of innovative and impactful research Demonstrated