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positions in the areas of biochemistry, structural biology, biophysics, cell biology, systems biology, and computational biology. We are looking for outstanding graduates from all over the world to join our
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focus on synthetic biology, biochemistry and/or chemistry. • Practical experience in protein engineering (structural and sequence design), bacterial production (S1 lab conditions, E. coli), protein
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International Max Planck Research School for Living Matter | Dortmund, Nordrhein Westfalen | Germany | 2 days ago
research projects in the areas of biochemistry, structural biology, biophysics, cell biology, chemical biology and synthetic biology? The International Max Planck Research School for Living Matter: from
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retardation, photosensitivity, and premature aging in Cockayne syndrome (CS) patients. Chromatin serves as a platform for DNA repair and undergoes dynamic changes during the DNA damage response (DDR) through
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for Neurosciences, Biophysics, and Molecular Biosciences (GGNB). The MINFLUX and MINSTED concepts have unlocked the door to minimally invasive, low-light-level analysis of the structure and dynamics of macromolecules
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. The International Max Planck Research School for Molecules of Life (IMPRS-ML) offers fully funded PhD student positions in the areas of biochemistry, structural biology, biophysics, cell biology, systems biology, and
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of pharmacological and functional intervention strategies Analysis of cellular and structural changes using histology and imaging Contribution to a collaborative and interdisciplinary lab environment Profile Master’s
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engineering, structural dynamics, basic isolation, finite element modelling. Proficiency and/or interest in programming languages (e.g. MATLAB, Python, R) and software platforms such as OpenSees, ABAQUS, LS
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1,000 employees from over 50 nations, it is the largest institute of the Max Planck Society . The Research Group Computational Biomolecular Dynamics (Prof. Dr. Bert de Groot) is inviting
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Your Job: Develop AI pipelines that translate -omic signatures into dynamic model parameters Implement reinforcement-learning agents that optimise model performance Collaborate closely with