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computational chemistry and biochemistry studies as directed by Prof. William Goddard within the Materials and Process Simulation Center in the Division of Chemistry and Chemical Engineering Essential Job Duties
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separation is predominantly driven by proteins that are intrinsically disordered (IDPs), i.e., do not have a clear predefined structure. We and others have recently identified that several intrinsically
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will design and apply a range of in vitro techniques, including quantitative RT-PCR, recombinant protein production, and bacterial and mammalian cell culture assays; as well as in silico techniques
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spectrum, in topics in virology and immunology, and currently specializes in computational biology focusing on developing methods and applications of deep learning for protein sequence and structure, as
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proteins at single cell resolution. In particular, transcriptome analysis of single cells (scRNA-seq), has matured rapidly and the technique is now cost effective, highly accurate and capable of determining
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academic groups and industrial entities in Europe and it addresses the development of a process chain targeting valorization of carbon dioxide to algal proteins. We, at DTU Chemical Engineering, will focus
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-based molecular biophysics project of medical significance, funded by the National Institutes of Health, USA. The Computational Biophysics Group develops advanced physical and chemical simulation
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description of how these proteins respond to physiological stimuli to control electrical signalling the body. This project, in collaboration with researchers at Cornell University, USA, is funded by
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to develop new knowledge for plant breeding of pea and faba bean, two important protein crops for future Swedish agriculture. We are looking for a highly motivated person who wants to carry out research
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inviting applications for a PhD Student (f/m/x) in the field of Theory and Methods for Non-equilibrium Theory and Atomistic Simulations of Complex Biomolecules Possible projects are variational free energy