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, advanced imaging techniques and numerical modelling. About the role A successful candidate will be working on the EPSRC funded project New perspectives in photocatalysis and near-surface chemistry: catalysis
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variants High-resolution cryo-EM and cryo-ET imaging to resolve molecular structure and guide engineering Protein design and molecular modeling, supported by AI tools such as AlphaFold2 Development
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Max Planck Institute for Nuclear Physics, Heidelberg | Heidelberg, Baden W rttemberg | Germany | 6 days ago
Job Code: 10-2025 Job Offer from July 21, 2025 The Max Planck Institute for Nuclear Physics is one of 84 research institutes of the Max Planck Society for the Advancement of Science e.V. (MPG
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compensation structure. We are committed to offering competitive and flexible compensation packages to attract and retain top talent. Benefits Rutgers offers a comprehensive benefits package to eligible
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, biochemistry, or chemical biology For a PhD in Structural Biology: protein expression and purification, X-ray crystallography, in silico modeling of protein-ligand interactions Preferred skills: experience in
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industrial chemical operations. The selected candidate will join a multidisciplinary team and contribute to the scientific and technical advancement of sustainable construction materials. He/She will
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independently and in interdisciplinary teams. T he successful candidate is expected to have experience with advanced functional neuroimaging data analysis methods and/or computational cognitive modeling
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he successful candidate is expected to have experience with advanced functional neuroimaging data analysis methods and/or computational cognitive modeling. Preferred Qualifications Previous experience
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and ex vivo cellular imaging, bioinformatics, production of genetically engineered animal models, single-cell profiling, and advanced image processing and analysis. In addition, numerous institutional
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Pneumatic Tires, Structure-Process-Properties Relationships. As part of it, we are currently looking for a postdoc on machine learning for road characterization. How will you contribute? Do you have proven