Imaging Systems Analysis Intern
Imaging Systems Analysis Intern
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Job Description
Work Schedule
Standard (MonFri)Environmental Conditions
OfficeJob Description
We are a part of Thermo Fisher Scientifics Advanced Technology research group in the Materials and Structural Analysis Division. Our focus is on Digital Science research developing new algorithms and applying artificial intelligence (AI) to address complex challenges in electron microscopy. Our team operates across multiple locations including Bordeaux France; Eindhoven The Netherlands; Brno Czech Republic; and Portland OR USA.
Discover Impactful Work:
Imaging systems like electron microscopes have advanced in data acquisition collecting more data at a faster rate. This has driven the success of deep learning (DL) in image processing. However in the field of cryogenic electron tomography (cryoET) only scarce annotated data are available being a bottleneck for demonstrating the usage of deep learning in this field. Indeed tomograms have a low signal noise ratio with strong missing wedge artefact navigating in 3D on such tomograms is laborious and time consuming. An alternative is to use simulation to generate a digital twin of the acquired cellular environment. In this internship we propose to evaluate the benefit of using a digital twin model to train DL models for the processing of cryogenic electron tomograms.
Keys to Success:
This internship based in Bordeaux France offers the chance to support our research team in developing proof of concept projects. You will collaborate closely conduct research analyze data and contribute to innovative solution design and . This handson experience provides valuable insights into research and development working with experienced engineers to bring innovative concepts to life.
Education
The ideal candidate should be in the final stages of their engineering masters degree with a strong grasp of computer science signal processing applied mathematics and deep learning.
Knowledge Skills Abilities
- Proficient in efficient Python/PyTorch programming
- Understanding of fundamental image processing techniques.
- Solid foundation in mathematics and algorithms for image processing.
- Excellent problemsolving and critical thinking skills.
- Effective communication of complex technical concepts to collaborators.
Required Experience:
Intern
Employment Type
Full-Time
