|CCL 18.05.22 Postdoc in Computational Biophysical Chemistry, Lund University, Sweden|
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Date: Tue May 22 06:39:59 2018
Subject: 18.05.22 Postdoc in Computational Biophysical Chemistry, Lund University, Sweden
A 2-year postdoc position is available from September 2018 or earlier in Par Soderhjelm's computational research group at Lund University, Sweden. Within the long-term goal of understanding conformational fluctuations of proteins, the project can be largely tailored to fit the skills and research interests of the candidate. Please read further below and apply before June 10 at https://lu.mynetworkglobal.com/en/what:job/jobID:210121 The Soderhjelm research group at the Center for Molecular Protein Science (CMPS) develops and applies computational methods for understanding protein dynamics and addressing fundamental questions of how proteins function. The group is supported by the Swedish research council (VR) and collaborates with both experimental and computational research groups at the CMPS and other chemistry divisions. For more information, see http://www.cmps.lu.se/bpc/research/soderhjelm/ The post-doctoral researcher will be part of a team trying to understand the nature of local fluctuations of proteins by computational means validated by experimental data, such as hydrogen exchange rates. The project may focus on different aspects of the problem depending on the skills and interests of the applicant, such as: * Development of enhanced-sampling methods * Strategies for automated selection of collective variables * Testing and development of polarizable force fields for proteins. * Methods for validating computational results against experiments. * Free-energy methods for ligand binding to flexible binding sites. Qualification requirements * PhD within computational chemistry, biophysical chemistry or another relevant field * Substantial experience with protein simulation. * Significant experience of developing programs or advanced analysis scripts. * Very good oral and written proficiency in English. * Ability to independently lead the work in this project and interact smoothly and efficiently with the other members of the team * A strong publication record. It is highly qualifying if the applicant has deep experience in any of the following areas: * Enhanced-sampling methods * Markov state models or dynamic analysis of simulations * Force-field development * Free-energy methods for ligand binding For details and instructions on how to apply, please see https://lu.mynetworkglobal.com/en/what:job/jobID:210121 Feel free to contact par.soderhjelm^_^bpc.lu.se for discussion of project details.NOTE THAT E-MAIL ADDRESSES HAVE BEEN MODIFIED!!!
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