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Researcher Job in image analysis at KTH, Sweden 2022

Sweden

Researcher Job in image analysis is available for master’s degree candidates in immunology, Physics at the School of Engineering Sciences, KTH Royal Institute of Technology, Sweden 2022

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General Info

Position: Researcher
No. of Positions: 1
Research Field: ,
Deadline to Apply: Expired
Joining Date: ASAP
Contract Period: Subject to Norms
Salary: According to standard norms

Workplace:
School of Engineering Sciences

KTH Royal Institute of Technology, Sweden

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Qualification Details

  • A doctoral degree or an equivalent foreign degree
  • The candidate should have documented research expertise from relevant field
  • It is important that you have the ability to work independently to progress your research project.
  • Since the research is conducted in a multidisciplinary environment collaborative skills and ability to communicate with other researchers is important.
  • You should have relevant postdoc experience.

Preferred qualifications

  • We prefer that you have documented teaching experience and ability
  • The ability to work towards research results being utilised in practice is valued.
  • Documented ability to inform about research and development work, for example through presentations at scientific conferences is highly valued.
  • Experience of developing and leading activities and staff.
  • Knowledge of diversity and equal opportunity issues, with specific focus on gender equality

Great emphasis will be placed on personal competence.

Responsibilities/Job Description

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.

How to Apply?

Application Method: Online Application
Ref. No.: S-2022-0829

Application Procedure

The application must include:

  1. CV including relevant professional experience and knowledge.
  2. 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.
  3. Brief account of why you want to conduct research, your academic interests and how they relate to your previous studies and future goals. Max two pages long.

About the Employer:

Note or Other details

  • A multidisciplinary environment connecting basic and applied research in physics, immunology with clinical research
  • A research environment with strong foundation in bioimaging
  • 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 be settled in Sweden and at KTH

Read more about what it is like to work at KTH

The employment is valid for a limited time according to the agreement - for up to 2 years, 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.

For information about processing of personal data in the recruitment process please read here.

We firmly decline all contact with staffing and recruitment agencies and job ad salespersons.

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