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Field
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Two fully-funded postdoctoral or PhD student positions in experimental mesoscale bioinspired materials, DNA nanoscience, and/or soft matter physics The university: Johannes Gutenberg University
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will plan and conduct experiments, generate high-quality data, prepare publications, make presentations and help supervise associated PhD students. The successful candidates will join large, supportive
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APPLICATION INSTRUCTIONS: CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process . Please do not apply
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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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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | about 1 month ago
(bio)physics, statistical mechanics, scientific computing and also a keen interest in interdisciplinary research and collaboration with experimental groups. PhD students hold (or expect to complete soon
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collaborate closely. Applicants must have a PhD in physics or a related field. Excellent analytical skills are required. Prior experience in the experimental techniques used in the lab such as optical tweezers
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will support other researchers and MSc/PhD students. They will develop novel scientific questions in brain development and lead on the analysis of specific aspects of translational science depending
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Putts; and inflammatory genetics. The successful candidate will support other researchers and MSc/PhD students. They will develop novel scientific questions and lead on the analysis of specific aspects
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or commensurate with experience Type of Position Student Position Time Status Full-Time Required Education PhD or MD Required Related Experience Biomedical Sciences Required License/Registration/Certification NA
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while contributing to a collaborative multidisciplinary research team including PhD students Desirable Skills: • Knowledge of data preprocessing and visualisation tools (basic R/Python is a plus