Postdoctoral Fellow: Integrative cryo-electron tomography data mining

TN Germany; Hamburg; Vor Ort; EUR 45.000 - 60.000; Vollzeit

Zusammenfassung

A leading research institution in Hamburg is seeking a Postdoctoral Researcher in Computational Structural Biology. The role involves developing advanced algorithms for image processing and particle identification, contributing to innovative research projects. Candidates should have a Ph.D. and strong programming skills, particularly in Python. This position offers a collaborative environment with opportunities for professional growth.

Qualifikationen

• Ph.D. in relevant fields required.
• Advanced programming skills in Python and computational tools.

Aufgaben

• Develop algorithms for macromolecular complexes identification.
• Enhance particle identification speed and accuracy using deep learning.

Kenntnisse

Programming

Machine Learning

Collaboration

Ausbildung

Ph.D. in Computer Science

Ph.D. in Image Processing

Ph.D. in Computational Structural Biology

Tools

Python

NumPy

SciPy

PyTorch

TensorFlow

JAX

Jobbeschreibung

This job description contains valuable information but needs better formatting and removal of redundant or misplaced content. Here's a refined version:

Job Title: Postdoctoral Researcher in Computational Structural Biology

Client: EMBL

Location: Hamburg, Germany

Job Category: Other

EU work permit required: Yes

Job Reference: HH00228

Posted: 12.05.2025

Expiry Date: 26.06.2025

Job Description:

Your role:

• Develop algorithms to identify macromolecular complexes in cellular tomograms, using image processing techniques such as template matching and machine learning.
• Investigate and implement methods to enhance the speed and accuracy of particle identification by increasing algorithm efficiency, refining scoring functions, and applying the latest deep learning techniques in computer vision.
• Explore the integration of spatial constraints from other data sources to improve particle identification.
• Co-develop PyTME (https://github.com/KosinskiLab/pyTME).
• Disseminate your code in well-organized, documented, and rigorously tested software packages.
• Use these new methods for research projects within the TransFORM consortium.

Contract details:

• Duration: 3 years, with a possibility of extension up to 5 years.
• Grading: Stipend.

Qualifications:

• Ph.D. in Computer Science, Image Processing, Computational Structural Biology, or a related field.
• Advanced programming skills in Python and experience in developing computational tools.
• Proficiency in numerical libraries such as NumPy and SciPy.
• Solid foundation in mathematics and algorithm development.
• Basic knowledge of machine learning techniques.
• Experience in software dissemination and management.
• Strong motivation to work in a collaborative, multidisciplinary environment.

Desired skills:

• Experience in cryo-ET data analysis or machine learning (candidates with a strong background in either area are encouraged to apply).
• Experience with deep learning frameworks such as PyTorch, TensorFlow, or JAX.

Additional information:

• Closing date: 19 August 2024.
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