Postdoctoral Fellow in High-throughput Biophysics

Updated: about 2 months ago
Job Type: FullTime
Deadline: 30 Apr 2025

28 Feb 2025
Job Information
Organisation/Company

Stockholm University
Research Field

Biological sciences
Researcher Profile

Recognised Researcher (R2)
Country

Sweden
Application Deadline

30 Apr 2025 - 23:00 (UTC)
Type of Contract

To be defined
Job Status

Full-time
Hours Per Week

To be defined
Is the job funded through the EU Research Framework Programme?

Not funded by a EU programme
Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

Project description

A postdoctoral position is available in the research lab of Emil Marklund , based at SciLifeLab campus Solna in Stockholm, Sweden. In the Marklund lab (marklundlab.com ), we investigate how sequence information in biological macromolecules governs recognition, binding, and dynamical structure. We combine high-throughput measurements of molecular binding with simulations and quantitative modeling to gain a physical understanding of life at the molecular level.

We are recruiting a Postdoc that wants to use and develop state of the art methods for studying binding and dynamical structure of DNA, RNA and proteins. Scientific questions in projects can involve, for example, studying specificity in transcription factor – DNA binding, detecting protein – protein interactions or enzyme optimization.

Main responsibilities

The successful candidate will use and develop methods within one, or preferably multiple, of the following categories:

 

  • Sequence library design, molecular cloning and protein purification: Designing and preparing molecular sequence variants for which binding are to be studied in high-throughput. Examples of suitable backgrounds: Molecular biology, protein engineering, biochemistry.
  • Optical engineering, fluorescence microscopy, image analysis: Development of microscopes and data analysis pipelines used to acquire and quantify high-throughput binding data. Examples of suitable backgrounds: Optical engineering, hardware-software integration, image analysis.
  • Building quantitative models: Using high-throughput binding data to build sequence dependent predictive deep learning models, and physical mechanistic models (thermodynamic and kinetic models etc.). Examples of suitable backgrounds: machine learning, programming, mathematics, physics.

You will participate in designing the project according to the overarching goals of the lab and you will be responsible for the implementation. We are an interdisciplinary lab and you will be encouraged to collaborate with other researchers in the team.

Reach out so we can do outstanding science together!


Where to apply
Website
https://jobrxiv.org/job/stockholm-university-27778-postdoctoral-fellow-in-high-…

Requirements
Additional Information
Work Location(s)
Number of offers available
1
Company/Institute
Stockholm University
Country
Sweden
Geofield


Contact
Website

https://marklundlab.com/

STATUS: EXPIRED

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