Two open post-doctoral positions in Image Analysis, Machine Learning and Computational Modelling in Life Sciences

Nowadays, advanced biological research requires the development of highly interdisciplinary approaches to understand the regulation of complex systems such as cellular architecture or cell-cell interactions during animal development and diseases. Such studies require expertise in high-resolution imaging, quantitative data analysis, machine learning and physical modelling.

Description:

Instituto Biofisika/Fundacion Biofisika Bizkaia (IBF/FBB) located in Leioa (Basque Country, Spain) is seeking two postdoctoral researchers inside the IKUR initiative of the Basque Government, promoting investigation and technological development in strategic areas. The positions are attached to a newly developed infrastructure, the Basque Resource for Image Analysis and Neural Networks (BRIANN), including different experts in Image Processing and Computational methods from different areas of Life Sciences (i.e., Daniel Castaño Diez, Ignacio Arganda Carreras, Daniele de Martino and Jérôme Solon). The focus of the two positions will be, respectively:

• Biophysical modelling & machine learning
• Algorithms and methods for complex pattern recognition in Electron and Light
Microscopy.

Role :

The selected candidates will be expected to interact closely with experimental scientists whose research interests span from tissue dynamics and biomechanics to structural/molecular biology and neuroscience. The projects will involve the development of new computational approaches to analyse imaging data based on computer vision and the design of multiscale physical models to provide understanding of intracellular architecture and/or multicellular organisation. They will be hosted at the Instituto Biofisika, whose fore- front facilities include a newly installed next generation Cryo-EM and advanced live imaging techniques such as confocal, super-resolution microscopy and light sheet microscopy.

The offered salary will align with the experience and skills of each candidate.
Funding is secured initially for two years with the possibility to extend pending satisfactory performance.

Profile :

The ideal candidates shall have excellent theoretical and computational skills and a strong motivation to use them to pursue biological problems.

Necessary skills for the two positions include:
– Proficiency in software prototyping and production. Good command of MATLAB, Python, C++, and/or CUDA is expected.
– Solid background in numerical mathematics, including optimisation and inference methods.

Further desirable qualifications include:
– Experience in Machine Learning (including neural networks) and/or other methods from Artificial Intelligence.
– Experience in computational, physical and mathematical modelling e.g., in molecular dynamics simulations, statistical mechanics models, non-linear dynamics and stochastic processes.
– Experience in Image Processing for Light and Electron Microscopy.

How to apply
Please send your application to   jerome.solon ( at ) ehu.eus   before February 15th 2022:
-Letter of motivation (max. 1 page)
-CV (max. 3 pages)
-Contact info for two referees.

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