The Structural and Computational Biology (SCB) Unit at EMBL Heidelberg pursues an ambitious and broad research program in integrated structural and computational systems biology, bridging between various temporal and spatial scales, from single molecules to entire ecosystems.
The SCB unit is a hub for computational biology at EMBL, with several groups employing (meta) genomic, transcriptomic, proteomic and metabolomic analyses to various biological systems.
To expand these activities, the SCB unit seeks to recruit a highly motivated group leader in the broad area of computational biology to address fundamental questions in structural, molecular, cellular or environmental biology.
Establish an independent and innovative research programme. Research areas can be as diverse as cheminformatics (e.g. chemical-protein-network analysis within cells and between cells), structural bioinformatics (e.
g. modeling of protein complexes and their interactions and / or dynamics in a cellular context or molecular interpretations of cryo-electron tomogram or light microscopy data), systems bioinformatics (e.
g. network or community modeling), or environmental bioinformatics (e.g. data-driven or theoretical ecology).
The future group leader will be embedded in the multidisciplinary and collaborative environment of EMBL, which provides many opportunities for interaction with other research groups.
The ambition to work on fundamental biological or methodological questions. Furthermore, your research complements and synergizes with the existing activities of the SCB Unit and the whole of EMBL.
You should therefore demonstrate a strong motivation to work in the collaborative and multidisciplinary environment of EMBL.
EMBL’s future scientific directions...
EMBL’s future scientific directions, Molecules to Ecosystems, include a vision to advance our understanding of ecosystems at the molecular level, applying expertise in molecular biology to study life in its natural context.
New research areas will focus on applying experimental, computational and theoretical approaches to study at multiple levels (molecules, cells, tissues and populations) how organisms interact with each other and respond to environmental change.
SCB will be happy to host computational biology activities related to the new .