[visionlist] Postdoc image processing/machine learning in cryo-electron microscopy

[JAVIER VARGAS BALBUENA]

There is an exciting Postdoctoral position in the lab of Javier Vargas in
the Department of Optics at the Universidad Complutense de Madrid in
Madrid, Spain to work in the project: “*Pushing the computational limits of
cryo-EM to maximize its biomedical impact*” supported by Proyectos I+D+I
2019 Modalidad Retos, Ministerio de Ciencia e Innovación.

We seek a highly motivated, self-driven and creative thinker who is
prepared to take risks in defining and addressing important scientific
problems, and who is enthusiast about image processing, machine learning
and developing computational approaches in their work.

Our work focusses on developing new image processing methods in
cryo-electron microscopy (cryo-EM) to obtain high-resolution 3D
reconstructions of macromolecules as proteins or virus. Cryo-EM is a
structural biology technique that uses the electron microscope to
reconstruct biomolecular assemblies. This technique is living a revolution
in its capacity to obtain atomic-resolution 3D reconstructions of
macromolecules. However, the extraordinary potential of cryo-EM is
presently limited by important factors: several steps in the pipeline can
only be performed by highly experienced researchers, biological complexes
are typically conformationally heterogeneous, and there are not reliable
validation methods to evaluate the obtained structures. Developing
algorithms that remove these bottlenecks is critical for cryo-EM to unfold
its tremendous potential as a research tool. Our work aims to develop these
methods to transform cryo-EM into a reliable, high-throughput and
high-resolution technique. We are developers of Cryomethods plugin [1] of
Scipion package [2] and actively collaborate with strong research groups in
Spain [3], Canada [4], United States [5-6] and Mexico [7]. A list of recent
publications can be seen from [8].

*Requirements*:

- PhD in computer science, physics or computational biology, or a related
field of science.

- Previous experience in image processing and data science.

- Strong knowledge in Python programming, especially using Numpy,
Matplotlib and Pandas.

- Experience working in Linux environments.

- Previous experience in machine learning/deep learning.

- Good written and oral communication skills in English.

Previous experience developing image processing methods in single particle
cryo-EM or cryo-ET and knowledge of Spanish language is a plus.

Applicants should submit a CV, a motivation letter outlining research
experiences and interests and two reference letters to Javier Vargas at
*jvargas at ucm.es* <jvargas at ucm.es>

[1] https://github.com/mcgill-femr/scipion-em-cryomethods

[2] http://scipion.i2pc.es/

[3] http://i2pc.es/about-i2pc/

[4] https://www.huy-bui.lab.mcgill.ca/

[5] https://www.mclellanlab.org/lab-members

[6] https://sites.google.com/uw.edu/dais-uw

[7] http://personal.cimat.mx:8181/~julio/

[8] https://orcid.org/0000-0001-7519-6106
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