Postdoc in molecular and computational biology (Finland) ~

13 de agosto de 2016

Postdoc in molecular and computational biology (Finland)

Applications are invited for a Post-Doctoral Fellow position at the Laboratory of Biosystem Dynamics (LBD) of the Department of Signal Processing and Biomeditech, Tampere University of Technology (TUT), Finland.

The position is open from September 1st, 2016 onwards. Starting date is negotiable. Competitive salary and contract length in accordance to TUT regulations.

The applicant will work in an interdisciplinary group with experts in molecular and computational biology, biophysics, signal and image processing, and biotechnology. The LBD is involved in national and international collaborations. We have theoretical and experimental research ongoing, and our lab is equipped with state-of-the-art technology for live, single-cell biology studies.

Project background: Bacteria process information so as to bind past events to future actions, making them adaptable to environment changes. This is made possible by semi-independent, tuned small genetic circuits that differ in structure, which defines their function. Meanwhile, the internal components, e.g. the kinetics of transcription initiation of the promoters, define their efficiency.

Project aims: This project will use theoretical modelling, synthetic genes and circuits, and single-cell data from time-lapse microscopy to engineer and study small genetic circuits, i.e., their dynamics, sensitivity to external signaling, robustness to fluctuations and evolvability. Depending on the applicant's background, he/she is expected to focus on theoretical or experimental approaches, which will then be complemented by the team.

Qualification: The successful applicant should have a PhD in Biophysics, Computational or Systems Biology, Molecular Biology, Single-Cell Biology, Biotechnology, Signal Processing, etc.

For further information, visit our web page:

To apply: send your CV, a letter of application, and a short project proposal (1 page max.) on the topics of gene networks, gene expression, or single-cell biology to Andre Ribeiro (

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