Postdoc in Computational Medicine

at  Aarhus Universitet

The Department of Clinical Medicine – The Department of Pathology at Faculty of Health at Aarhus University invites applications for a position as Postdoc in the field of computational medicine as per 1 February 2024 or as soon as possible thereafter. The position is a fixed-term full-time position for 2 years.

TERMS OF EMPLOYMENT

• Appointment as a postdoc requires academic qualifications at PhD level.
• Further information on the appointment procedure can be found in the Ministerial Order on the Appointment of Academic Staff at Universities.
• The appointment is in accordance with the Danish Confederation of Professional Associations (Akademikerne).
• Remuneration is in accordance with the above, and the Salary agreement catalogue for staff at Health.
• The yearly base salary for a fulltime postdoc is between DKK 484.214,84 and DKK 538.720,20 depending on the years of working experience after achieved MSc degree. The base salary includes a position related supplement and pension (17.1 %). Additional supplement(s) for special qualifications can be negotiated. Authorisation supplemement(s) will be granted, if relevant for the position. Your local eligible trade union representative at Aarhus University negotiates your salary on your behalf.
• Researchers recruited from abroad are offered a special researcher tax scheme with a lower tax rate.
• Further information on qualification requirements and job description can be found in the Ministerial Order on Job Structure for Academic Staff

As Postdoc you will join the Laboratory for Complex Tissue Analysis led by Prof. Victor Puelles, physically located in The Department of Pathology. Your position is primarily research-based but may also involve teaching assignments. You will be affiliated and contribute to the development of the Department of Clinical Medicine 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.
• Image analysis of highly multiplexed immunofluorescence data.
• Machine learning/deep learning-aided image segmentation.
• Bulk RNA-sequencing analyses.
• Single cell RNA-sequencing analyses.
• Developing novel methods for the analysis of histopathological and immunofluorescence images.
• Developing novel methods for the analysis of transcriptomic data.
• Developing interactive (web) interfaces to present and explore data.
• Participating in reviews on diverse biomedical and computational topics.
• Lab analysis server maintenance and administration.
• Data organization and developing storage concepts.
• Presenting progress at international conferences.
• (Co-)supervision of master and PhD students.
• Work as part of a multidisciplinary, international and multilingual team.

You will report to Professor Victor Puelles.