For postdoctoral researchers
Research Associate/Postdoc in Computational Biophysics Technical University of Munich
A Research Associate position is available in computational biophysics at the Physics Department/Center of Functional Protein Assemblies of TU Munich, Germany, to start immediately. The position is intended to offer a long term perspective (initially for 3 years but extendable for up to 5 years). It includes the possibility to participate in supervision of PhD and master students to develop an independent research profile and to possibly apply for third party funding. It also involves participation in teaching within the physics/biophysics curriculum and the possibility of habilitation. The research focus shall be in the area of studying biomolecular structure and dynamics employing molecular mechanics or mixed quantum/classical mechanics methods but also machine learning approaches. It will involve applications and development of simulation and advanced sampling methods as well as new docking and prediction methodologies. Possible research projects may also involve the collaboration with experimental and other theoretical groups and require the ability of handle multiple projects simultaneously.
Successful candidates should have a PhD in either physics, or physical chemistry and experience in the area of biomolecular simulations. The Technical University of Munich belongs to the scientific top addresses and is one of the Universities of Excellence in the Federal Republic of Germany. The Zacharias group closely collaborates with experimental groups to better understand the dynamics and association of biomolecules. State-of-the-art computer equipment is available including access to supercomputing facilities. The position will be paid according to the E13 level. Please, send your CV and cover letter describing your research interests including the addresses of two referees to (preferably by e-mail):
Prof. Dr. Martin Zacharias
Chair of Theoretical Biophysics-Molecular Dynamics
Center of Functional Protein Assemblies
Technical University of Munich
D-85748 Garching, Germany
For doctoral researches
SFB 1035 (Control of protein function by conformational switching)
Within the SFB1035 a DFG-funded PhD position (salary: 2/3 E13) is available in the Molecular Simulation group (Prof. Zacharias) at TU Munich. Protein-protein and protein-peptide interactions play a major role in basically all biological processes. Many of these interactions involve partner proteins that adopt disordered conformations in solution and fold into defined structures only upon binding to a partner molecules. The focus of the planned research is to study coupled folding and binding of peptides upon association with a receptor protein using molecular simulation approaches. The research project will be performed in close collaboration with experimental groups in the framework of the collaborative research center SFB1035. Successful candidates should have a diploma or master degree in either physics, biophysics or physical chemistry combined with a strong interest in (bio)molecular simulations. Experience with the Linux operating system and a programming language is a plus.
For B.Sc. and M.Sc. Students
Max Planck School Matter to life Program
We are currently accepting applications for PhD positions in the field of Matter to Life for Fall 2019 via the Max Planck School Matter to Life program. Excellent students who have or will receive either a Bachelor’s or Master's degree by Fall 2019 are eligible to apply.
Please see the website (www.maxplanckschools.org/matter-to-life) for application deadlines and details on how to apply.
2. Modellierung der Proteinfaltung mit vergröberten Proteinmodellen
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Structure prediction of Protein assemblies based on chemical crosslinking
Most cellular processeand are mediated by large protein complexes (assemblies) and are influenced by transient protein-protein interactions. By using chemical crosslinking it is possible to trapp and analyse these interactions in vitro (in a test tube) but also in vivo (in the cell). Cross linking refers to the covalent connection of two proteins if they come close together (to a distance of less than ~2-3 nm). The crosslink positions on the protein surface can be identified by mass spectrometry. With the knowledge of a sufficient number of such cross links it is in principle possible to determine how the proteins interact and to create a model of the spatial arrangements of the proteins in the molecular assembly or complex. Goal of the master thesis is to design and improve approaches to predict the structure of multi protein complexes based on the structure of the individual proteins and based on the crosslinking data. In the master thesis computational approaches will be used and some knowledge of a programming language like Python is an advantage. If successful the work can have great impact on better understanding biophysical processes in a cell.