Ansökan har stängt

Sista ansökningsdag var 12 juli 2026. Se liknande lediga exjobb längre ner, eller bevaka området.

Annonsen är på engelskaAI & dataBeteendevetenskap & HR

Synthetic biology for stem cell engineering

publicerat av Karolinska Institutet

LinkedIn E-post
Företag
Karolinska Institutet
Ort
Huddinge
Sista ansökningsdag
12 juli 2026

Beskrivning


Do you want to work in a newly started research group and help define how synthetic biology is used for regenerative medicine? In our lab (magnussonlab.org), we recently developed new technology that combines new CRISPR-based tools and machine learning algorithms to engineer transcriptional networks through multi-gene control in human pluripotent stem cells (https://www.biorxiv.org/content/10.1101/2024.11.04.621938v1).

With this technology, we seek to precisely program cell identity and complex cell behavior by engineering multi-gene networks as predicted by custom-designed computational algorithms. The long-term aim is to transform regenerative medicine into a rational engineering discipline where designer cells are programmed to carry out complex regenerative functions inside the body, similar to how CAR T cells are transforming immunotherapies. This long-term goal is broken down into smaller projects, each of which addresses a key bottleneck in this space.

Now, we are seeking outstanding students to pursue ambitious projects that seek to use synthetic biology to program cell fate and complex cell behaviors with the aim of advancing regenerative medicine. Laboratory skills including cell culture are highly meriting, as is experience with computational biology and machine learning. This project will be carried out at Karolinska Institutet and may involve work on both the Huddinge and Solna campuses. If you’re interested, please send your CV, a personal letter, and academic transcripts. We look forward to hearing from you.

Lediga exjobb som liknar det här

ExjobbFöretagOrtOmrådeSista ansökningsdag
Industrial Engineering Software Exploration

Via Chalmerss exjobbsportal

Solme ABGöteborgIndustriell ekonomi16 december 2026
Develop a neural network to estimate reaction torque using IMU data

Via KTHs exjobbsportal

Atlas CopcoOrt ej angivenAI & dataEj angiven
Upskillingbudgetar och AIPareto Business SchoolDistansAI & dataEj angiven
Masterprojekt: Neutron–antineutron-sökning med HIBEAM-NNBARChalmers Tekniska HögskolaGöteborgAI & data1 december 2026