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). The project focuses on developing computational models for cancer risk assessment, integrating multiple types of data and risk factors. The main objective is to design and apply machine learning and deep
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research. A wide range of courses, excellent research connections, and extensive lab work characterizes the teaching. Together with our colleagues at the Department of Chemistry – Ångström, we
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Linköping Referensnummer IFM-2026-00054 Work assignments We are looking for a postdoc who is motivated not only by solving established problems, but by exploring new ways of formulating them
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. Approximately 40 people work within the Department. You will be part of a research group in molecular evolution that focuses on studies and development of antibodies in health and disease. Subject description The
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Highly creative researcher with broad scientific curiosity Exceptional collaborative abilities Self-motivated individual with the ability to work independently Teaching and mentorship abilities
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, chloroplast biology, or protease biology Ability to work independently and collaboratively in an international research environment, with a strong drive to take ownership of the project and develop their own
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Collaborative abilities Independence Well-organized / structured Have a professional approach Analyze and work with complex issues Good knowledge of English and good presentation skills in text as it is required
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forward towards their goals within molecular life sciences. Competitive salary and benefits, including access to the Swedish social security system, to support work-life balance. Our Commitment
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visualization and scientific communication Extensive knowledge of relevant machine learning and AI techniques Exceptional collaborative abilities Self-motivated individual with ability to work independently
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are looking for someone with good collaborative- and communicational skills. At the same time, we prefer that you can work independently and take initiative. As a person, you are thorough and skilled in