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protein complexes and to support project progress. The successful candidate will report to the SB Lab manager and will work in close contact with other scientists of the Structural Biology group at Elettra
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for compositionally complex, defect-containing and structurally disordered crystalline materials. Develop, train, validate and benchmark machine-learned interatomic force fields for multicomponent inorganic energy
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cancer. The role involves designing and executing complex experimental studies involving drug target evaluation, molecular pharmacology, cell culture models, and in vivo xenografts to evaluate targeted
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-enabled approaches to understand atomic-scale structures, defects and structure-property relationships in advanced materials, contributing to next-generation materials discovery. The successful candidate
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(RAS) and the Department of Economics and Business Sciences (DSEA): “Identification and Experimental Application of Methods and Models for the Mapping of Processes Characterizing Complex Administrative
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Job Posting Title: Post Doctoral Scholar The Opportunity: The Department of Civil, Environmental and Construction Engineering at the University of Central Florida is inviting a motivated
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Max Planck Institute of Molecular Physiology, Dortmund | Dortmund, Nordrhein Westfalen | Germany | about 1 month ago
Job Code: 18/2026 Job Offer from August 18, 2026 A fully funded postdoctoral position is available in the Structural Cell Biology group led by Dr. Katerina Naydenova at the Max Planck Institute
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Approach to Computational Complexity: Structure, Self-Reference and Lower Bounds. The post holder works closely with the Principal Investigator, Rahul Santhanam, but also with the co-PI at Imperial, Iddo
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the structures of complex extended inorganic mateirals on a materials discovery project. The successful candidate will join the ERC Advanced Grant project MaterED (Materials Discovery: from Exploration towards
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research fellow to lead the computational arm of a Leverhulme-funded project investigating how cryogenic OrbiSIMS interacts with complex biomolecular structures. Working closely with experimentalists and