Who are we looking for:

We are looking for a 100% PhD student to work on a Swiss National Science Foundation funded project for 4-years focusing on novel morphological patterns in colorectal cancer tissue images. This project lies at the intersection of image analysis (deep learning) and biology and will focus heavily on histomorphology of colorectal cancer.

Your profile:

• MSc or equivalent in computer science, medical imaging, engineering; or MSc in biomedical sciences or MD degree with experience in medical image analysis, computer vision
• Interest in histology, cancer biology / biological mechanisms
• Programming skills in Python and R
• Knowledge in pytorch or tensorflow
• Ability to solve problems by taking own initiative and working independently
• Passion for science and interest in contributing to discoveries in medicine & pathology
• Eager to be part of a group and contribute positively to team dynamic
• Previous experience in digital pathology or histology is an asset
• Background or experience in biostatistics/bioinformatics is an asset
• Excellent communication skills (written and spoken) in English; German is an asset
• Willing to help supervise future Master students and contribute to lectures or workshops

Start:

October 1st 2024 (negotiable)

Please send your application before 15.07.2024 including a short letter of interest outlining reasons for the application to our group, curriculum vitae including names of 2 references, a list of publications, and copies of the certificates of academic qualifications as a single pdf-file by Email to: E-Mail schreiben.

University of Bern, Institute of Tissue Medicine and Pathology
Human Resources
Murtenstrasse 31
CH-3008 Bern

For more information, please visit our website .