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Our research focuses on spatial proteomics and cell biology, bridging bioimaging and proteomics to explore fundamental aspects of human cell biology at the single-cell level. We use an antibody-based approach to systematically investigate how human proteins are distributed in both time and space, how variations in their localization contribute to cell type specificity, and how deviations in protein localization may lead to disease.
In this project, you will develop and apply cutting-edge tools and machine learning techniques to model spatial multi-omics data. The aim is to advance our understanding of protein dynamics at the single-cell level and contribute to the broader understanding of cellular processes. You will also use computational image analysis to study variations in protein spatiotemporal expression patterns in relation to the cell cycle and other deterministic factors.
Key Responsibilities
Develop and apply innovative spatial omics techniques to analyze multi-omics mostly spatial proteomics data.
Collaborate with interdisciplinary teams to model and interpret single-cell protein dynamics.
Conduct computational image analysis to study protein expression patterns and their relation to cellular processes.
Contribute to the publication of research findings in high-impact journals and present at conferences.
What we offer
A position at a leading technical university that generates knowledge and skills for a sustainable future.
Engaged and ambitious colleagues along with a creative, international and dynamic working environment
Work in Stockholm, in close proximity to nature
Help to relocate and get settled in Sweden and at KTH
A position within the rapidly growing field of spatial proteomics at Sweden’s largest infrastructure for Life Science
We are looking for a highly motivated postdoctoral researcher with:
A graduate degree or an advanced level (higher education) in relevant field such as bioinformatics, cell biology, bioengineering, or a related discipline.
Advanced experience in image analysis
Strong experience in spatial proteomics, bioimaging, and/or computational biology.
Familiarity with machine learning methods for data analysis, especially in the context of omics data.
Excellent problem-solving skills, as well as the ability to work independently and as part of a collaborative research team.
Experience with computational image analysis (e.g., microscopy data) is highly desirable.
Strong written and verbal communication skills in English since needed in the daily work..
Subject-related skills
Professional skills
Awareness of diversity and equal opportunity issues, with specific focus on gender equality
Preferred qualifications
A PhD in a relevant field such as molecular biology, bioinformatics, cell biology, bioengineering, or a related discipline.
Independence
You work efficiently without constant supervision and take initiative to solve problems and drive projects forward.
Teamwork You are a team player who enjoys collaborating with others to achieve common goals, and you communicate and listen well to colleagues.
Responsibility You take ownership of your tasks and are meticulous in your work. You take responsibility for both successes and challenges.
Flexibility You can quickly adapt to changing circumstances and have the ability to handle multiple tasks simultaneously without losing focus.
Problem-Solving You have an analytical and creative approach to challenges, finding solutions and seeing opportunities where others might see obstacles.
Communication Skills You can express yourself clearly and concisely both in writing and verbally, adapting your communication to different audiences and situations.
Log into KTH's recruitment system to apply for this position. You are responsible for ensuring that your application is complete according to the instructions in the ad.
The application must include:
CV including relevant professional experience and knowledge.
Copy of diplomas and grades from your previous university studies. Translations into English or Swedish if the original documents have not been issued in any of these languages.
Brief account of why you want to conduct research, your academic interests and how they relate to your previous studies and future goals. Maximally two pages long.
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).
About the employment
The employment is valid for a limited time according to the agreement - for up to 12 months, with access according to agreement.
Other information
Striving towards gender equality, diversity and equal conditions is both a question of quality for KTH and a given part of our values
It may be the case that a position at KTH is classified as a security-sensitive role in accordance with the Protective Security Act (2018:585). If this applies to the specific position, a security clearance will be conducted for the applicant in accordance with the same law with the applicant's consent. In such cases, a prerequisite for employment is that the applicant is approved following the security clearance.
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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.
About KTH
KTH Royal Institute of Technology in Stockholm has grown to become one of Europe’s leading technical and engineering universities, as well as a key centre of intellectual talent and innovation. We are Sweden’s largest technical research and learning institution and home to students, researchers and faculty from around the world. Our research and education covers a wide area including natural sciences and all branches of engineering, as well as architecture, industrial management, urban planning, history and philosophy. Read more here
Type of employment: Special fixed-term employment Contract type: Full time First day of employment: According to agreement Salary: Monthly payment Number of positions: 1 Full-time equivalent: 100% City: Solna County: Stockholms län Country: Sweden Reference number: PA-2025-0111 Contact:
Diana Mahdessian, diana.mahdessian@scilifelab.se
Published: 2025-01-23 Last application date: 2025-02-10
Job details
Title
Research engineer Position in Computational Spatial Proteomics
