Joint Master Thesis with the lab of Helge Ewers

 

Imaging the Neuronal Microtubule Cytoskeleton

 

Microtubules are essential cytoskeletal components of neurons. They are fundamental to many neuronal processes, such as long-distance transport, but they also establish and maintain neuronal morphology. We are interested in dynamic as well as structural parameters of the microtubule cytoskeleton, such as microtubule number, length, distribution, orientation, and bundling throughout neuronal differentiation. The aim of this imaging-based project is to resolve the spatial organization of the microtubule cytoskeleton throughout neuronal differentiation with nanometer precision. 

 

Individuals experienced / interested in neurobiology, biophysics, biochemistry or bioengineering are invited to apply. Please send a CV, a letter of motivation, and names of up to 3 references via email to helge.ewers@fu-berlin.de and simone.reber@iri-lifesciences.de.  

 

Keywords: Microtubule cytoskeleton, neuronal differentiation, superresolution microscopy, nanobodies, quantitative imaging.

 

We welcome applications of outstanding university graduates who wish to work towards a PhD and who hold an undergraduate degree from the following disciplines: life sciences, natural sciences, engineering, computer science, physics or applied mathematics.


PhD students

 

We welcome applications of outstanding university graduates who wish to work towards a PhD and who hold an undergraduate degree from the following disciplines: life sciences, natural sciences, engineering, computer science, physics or applied mathematics.

 

For further information on our PhD selection and how to apply, please click here!


Postdoctoral research fellow

 

We, together with the Preibisch lab are looking for a postdoctoral research fellow to develop algorithms for quantitative analysis of large data sets from 4D time-lapse fluorescence microscopy and of single molecule imaging by TIRF microscopy.

 

The candidate will develop innovative computer-vision algorithms for segmentation and tracking of subcellular structures aiming at automatic data collection and analysis. The individual will work collaboratively with a team of computer scientists and experimentalists to efficiently implement these algorithms allowing real-time high-throughput analysis of big data sets. Applicants should have a PhD or equivalent and a background either in computer science, biophysics, physics, or engineering or in biology with strong expertise in programming and biological image analysis algorithm development. Experience in biomedical microscopy or adaptive optics would be an advantage but is not essential. This opening could be tailored to individuals interested in pursuing an original academic research program or a specialist with experience as a software developer/engineer.

 

The Preibisch lab at the Berlin Institute of Medical Systems Biology (BIMSB) combines cutting-edge light and electron microscopy, transcription imaging and deep sequencing with computer vision and software development.

 

To understand the biochemical and biophysical principles that underlie the self-organization and scaling of subcellular organelles, the Reber lab at the IRI for the Life Sciences combines cell biological experiments, single molecule studies, and mathematical modeling.

 

Preferred Qualifications:

 

  • PhD in Computer Science, Applied Math, Physics, Biomedical Engineering or a related discipline.
  • Some prior experience in statistical analysis
  • Experience in machine vision, machine learning, image segmentation, and/or image analysis.
  • Familiarity with high-performance computing and efficient handling of large datasets.
  • Established collaborative programming skills in Java, C/C++, Python or similar languages.
  • Demonstrated ability to use Fiji, Matlab, Imaris, Huygens, or LabView.
  • Ability to communicate and support interdisciplinary work in small groups.

 

In case you have any question, please feel free to contact either of us directly via mailto: stephan.preibisch@mdc-berlin.de and simone.reber@iri-lifesciences.de

IRI for the Life Sciences | Humboldt-Universität zu Berlin |

Haus 18 | Philippstr. 13 | 10115 Berlin

office@iri-lifesciences.de

Humboldt University
IRI for the Life Sciences