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The goal of precision medicine is to provide healthcare with individualized treatments that are selected based on patient-specific biomarkers. Data-driven searches for new biomarkers will generate new hypothesis that will require validation, increasing the need for high-content screening with functional readouts. This has created a need for new methods for validating individualized treatments to personalize immunotherapy. In this project we will improve miniaturized cell assays developed in the Önfelt lab by implementing traditional image analysis and machine learning algorithms to decipher heterogenic immune responses. The project aims to develop software to 1) Assess cytotoxicity at the single cell level, 2) Decipher dynamics of effector-target cell interactions, and 3) Study NK or T cell responses in the tumour microenvironment. The research is based on clinical needs and a future goal is clinical implementation of a workflow for optimisation of personalized treatment.
Read more about what it is like to work at KTH
Requirements
Preferred qualifications
Great emphasis will be placed on personal competence.
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Log into KTH's recruitment system in order to apply to this position. You are the main responsible to ensure that your application is complete according to the ad. Your complete application must be received at KTH no later than the last day of application.
The application must include:
Your complete application must be received by KTH no later than the last day of application, midnight CET/CEST (Central European Time/Central European Summer Time).
The employment is valid for a limited time according to the agreement - for up to 2 years, with access according to agreement.
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Disclaimer: In case of discrepancy between the Swedish original and the English translation of the job announcement, the Swedish version takes precedence
Type of employment | Temporary position |
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Contract type | Full time |
First day of employment | August 1 or according to agreement |
Salary | Monthly salary |
Number of positions | 1 |
Full-time equivalent | 100 % |
City | Stockholm |
County | Stockholms län |
Country | Sweden |
Reference number | S-2022-0829 |
Contact |
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Published | 20.Apr.2022 |
Last application date | 04.May.2022 11:59 PM CEST |