진학프로석·박사 채용 접수 플랫폼

The Department of Clinical Medicine at the Faculty of Health at Aarhus University invites applications for two full-time postdoc positions in generative AI modeling and cancer detection, starting September 1st, 2025, or as soon as possible. The positions are for two years with potential for extension.

We seek outstanding candidates to develop generative-AI-based statistical methods for blood-based cancer detection. You will apply the methods to unprecedented genome-wide circulating cell-free DNA data sets from cancer patients and healthy individuals. The data contains rich information on cancer presence, type, and epigenomic regulation. You will develop predictive statistical methods to improve our ability to detect and characterize cancer from blood and other liquid biopsies, characterize chromatin structure, and improve nucleosome maps.

The positions are part of the project: “Development and application of generative AI models for ctDNA detection and characterization,” supported by the Novo Nordic Foundation. You will join a vibrant research team led by Prof. Jakob Skou Pedersen that uses generative AI for cancer genomics and single-cell data analysis.

Responsibilities

As a postdoc in generative AI modeling and cancer detection, your position is primarily research-based and may also involve teaching assignments. You will contribute to the development of the department through research of high international quality. In your daily work, you will work closely with colleagues on your project, where you will receive supervision and guidance.

Your main tasks will consist of:

• Independent research of high international quality, including publication.
• Statistical modelling using generative AI.
• Develop predictive statistical methods for cancer detection or characterization.
• Maintaining a high degree of technical expertise.
• Analyse and interpret large-scale omics data sets.
• Interaction with other team members to help facilitate method development and data analysis.
• Interaction with various collaborators, local, national, and international
• The position may also include co-supervision of PhD, MSc, MD and/or BSc students.
• The position may also include grant writing or assistance with grant writing.
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Skills/Qualifications

You have academic qualifications at PhD level, for example, in computational statistics, bioinformatics, data science, computer science, or similar areas. In addition, the following qualifications will be advantageous:

• Published peer-reviewed articles in international journals.
• Training in statistics and machine learning.
• Experience with generative AI modeling
• Bioinformatics.
• Handling and analysis of large data sets.
• Research experience in genomics and/or transcriptomics.
• Knowledge of cancer and/or nucleosome biology.
• Programming proficiency, with Python experience.
• Rich in initiative and a strong motivation for research

You have good interpersonal skills, are inclusive and team-oriented, and can contribute to a good work environment. We expect you to be fluent in oral and written English.