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modelling approaches. An initial phase will involve familiarising oneself with the study system and the available data. The next step will be to develop dynamic models to estimate the interaction forces
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Faculty of Mathematics and Computer Science and the Cluster of Excellence, Mathematics Münster: Dynamics – Geometry – Structure, at the University of Münster, Germany, invite applications for two
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intelligence methods to better model, interpret, predict, and design biomolecular and cellular structure and function. We are especially interested in work that bridges computational and experimental
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materials. Our research projects both aims at development of new dyes to improve our fundamental understanding of the relationship between molecular structure and fluorescent properties, as well as to
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conferences, write journal articles, and assist with mentoring students. Isborn group The position will involve applying multiple time-dependent electronic structure and nonadiabatic dynamic methods to model
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"For my research projects I use first-class equipment. This is extremely important in dynamic 3D radiography." Dr. Ameet Aiyangar, Mechanical Systems Engineering PhD position in vibrational and
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AITHYRA GmbH - Research Institute for Biomedical Artificial Intelligence of the Austrian Academy of Sciences | Vienna, Virginia | United States | 2 months ago
between viruses and cellular immunity. The Nomburg Lab uses protein structure prediction and comparison to study viral immune antagonists (see Nomburg et al., Nature 2024 https://doi.org/10.1038/s41586-024
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muscle transcriptome. For more information see: https://medicine.iu.edu/faculty-labs/witczak Successful candidates will have recently completed PhD training, possess a strong background in type 2
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muscle transcriptome. For more information see: https://medicine.iu.edu/faculty-labs/witczak Successful candidates will have recently completed PhD training, possess a strong background in type 2
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Biophysics Posting Number R260151 Posting Link https://www.ubjobs.buffalo.edu/postings/64468 Employer Research Foundation Position Type RF Professional Job Type Full-Time Appointment Term Salary Grade E.89