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Postdoc Simulation-based inference of single-particle tracking microscopy
Frankfurt Institute for Advanced Studies (FIAS) —Frankfurt am Main
- Doktorat
- Forschungserfahrung
- Machine Learning

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Postdoc Simulation-based inference of single-particle tracking microscopy
Frankfurt Institute for Advanced Studies (FIAS) —Frankfurt am Main
The project focuses on developing and applying an innovative computational framework that integrates artificial intelligence and physics-based computer…

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Postdoc Simulation-based inference of single-particle tracking microscopy

Frankfurt Institute for Advanced Studies (FIAS)
Frankfurt am Main

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Details zur Stelle

Qualifikationen

TensorFlow
Doktorat
Forschungserfahrung
Machine Learning
Physik
Künstliche Intelligenz
Python

Vollständige Stellenbeschreibung

Postdoctoral fellow position: “Simulation-based inference of single-particle tracking microscopy.”

This project is part of the SCALE Cluster of Excellence initiative of Frankfurt Goethe University. It will be carried out in the Theoretical and Computational Biophysics CovinoLab] led by Roberto Covino at the Frankfurt Institute for Advanced Studies (FIAS), in a strong partnership with the Single Molecule Biophysics group led by Mike Heilemann at Goethe University (HeilemannLab).

Postdoc (m/f/d)

The project focuses on developing and applying an innovative computational framework that integrates artificial intelligence and physics-based computer simulations to extract reduced quantitative models from super-resolution single-particle tracking experiments of plasma membrane receptor assembly. The self-assembly of receptors in cellular membranes is a fundamental process in biology. Understanding its biophysics and biological implications requires groundbreaking approaches, which you will advance. You will be embedded in a highly interdisciplinary environment and interact intensely with experimental collaborators to develop new quantitative models of fundamental biological systems.

Ideally, you have:

An excellent PhD in computational sciences (physics, biophysics, mathematics, computer science, or theoretical chemistry).
Excellent communication skills and working proficiency in English.
A strong interest in interdisciplinary research, method development, and bridging theory with experiments.
A strong experience in programming (Python, etc.) and machine learning (PyTorch, Tensorflow).
A highly inspiring work environment.
Excellent research infrastructure and dedicated mentoring.
A very competitive salary and social benefits.
Excellent opportunities for training and career development.
A motivation letter stressing why you want to do a postdoc in the field and our lab.
A detailed curriculum vitae containing academic qualifications, research experiences, skills, and a publication list where you highlight your contribution.
Name and contact information of at least two references.

We offer:

A highly inspiring work environment.
Excellent research infrastructure and dedicated mentoring.
A very competitive salary and social benefits.
Excellent opportunities for training and career development.
You will have the opportunity to live in Frankfurt am Main, a vibrant and exciting cosmopolitan city at the heart of Europe.
A motivation letter stressing why you want to do a postdoc in the field and our lab.
A detailed curriculum vitae containing academic qualifications, research experiences, skills, and a publication list where you highlight your contribution.
Name and contact information of at least two references.

Applications may be submitted until December 31, 2023 but interviews will be scheduled as soon as possible.

Required documents:

Please send all documents as a single pdf file to [covino_at_fias.uni-frankfurt.de].

For any further questions, please contact Dr. Roberto Covino [covino_at_fias.uni-frankfurt.de]

The FIAS and Covino Lab are proud to be equal opportunity employers. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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postdoctoral fellow Jobs in frankfurt am main, he

Postdoc Simulation-based inference of single-particle tracking microscopy

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Postdoctoral fellow position: “Simulation-based inference of single-particle tracking microscopy.”

Postdoc (m/f/d)

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