The research group for 'Computational Biology' at the University of Erlangen-Nürnberg offers a PhD position. The project aims at the computational (re)design of proteins and ligands, in particular
- the design of proteins with modified pre-defined properties
- the development of novel methods for the prediction of binding affinities of peptidic ligands and drugs to proteins.
The candidate for this position is expected to have completed a Master in chemistry or physics with a strong theoretical component, be strongly motivated and team-oriented. The position is limited to three years and is funded according to the German E13 scale (50%). Work of the group for Computational Biology is focused on the prediction of structure, function and (nano)dynamics of membranes and proteins.
http://www.biotechnik.nat.uni-erlangen.de/research/boeckmann/
Interested candidates should send their application by e-mail (*one* pdf document containing letter, cv, certificates, references) to Prof. Rainer Böckmann:
rainer.boeckmann@biologie.uni-erlangen.de
Methoden:
- molecular dynamics simulations
- Poisson-Boltzmann approaches
- machine learning algorithms
Anfangsdatum: 27. September 2011
geschätzte Dauer: 36 Monate
Bezahlung: 50% E13
Veröffentlichungen:
Alexander Benedix, Caroline M. Becker, Bert L. de Groot, Amedeo Caflisch, Rainer A. Böckmann
"Predicting Free Energy Changes Using Structural Ensembles"
Nature Methods 6 (2009) 3-4
Homepage: http://www.biotechnik.nat.uni-erlangen.de/research/boeckmann/