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the Faculty of Medicine, the Erlangen National High-Performance Computing Center (NHR@FAU), the Max Planck Institute for the Science of Light, and the Max-Planck-Zentrum für Physik und Medizin, and we also
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evaluation of high-performance light microscopy experiments coordinating the smooth operation of the facilities, including instructing users in the operation of the imaging and biophysics facilities
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, superconductivity, cryogenics, or microwave electronics. Additional experience beyond the PhD is not required. US citizenship is not required. What we offer State of the art on-site high performance/GPU compute
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explore the effort required to implement a geofence solution that meets a specified Agricultural Performance Level (AgPL). It will examine which technical solutions are necessary and which components
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matter, nanotechnology, and drug delivery; high-throughput platforms and molecular/cellular biosensors; computational bioengineering and AI for modeling, design, and prediction. The Max Delbrück Center
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MPE is a world-renowned institute in both space- and ground-based experimental astrophysics, playing leading roles in numerous major astronomical missions and projects. The high-energy group carries
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Senior Scientist / Group Leader on Bioinformatics / Computational Biology on RNA Regulation in Disea
-throughput sequencing data (e.g., RNA-seq, CLIP-seq, or epitranscriptomics) Familiarity with cloud computing and high-performance computing (HPC) environments Strong analytical and problem-solving skills with
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Application deadline: 05.10.2025 Tasks To perform an independent experimental or computational PhD project in the fields of neuroscience, biochemistry, ophthalmology, and / or datascience. Profile Completed
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EU MSCA doctoral (PhD) position in Materials Engineering with focus on computational optimization of
MSCA doctoral (PhD) position in Materials Engineering with focus on computational optimization of additively manufactured Mg alloys for biodegradable implant applications. Host: Helmholtz-Zentrum Hereon
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division 8.5 Planning, performing, and evaluating in-situ/4D computed tomography experiments Developing software for the quantitative evaluation of various image data sets (algorithms for detecting volume