PhD Student in Bern

Jobbeschreibung

PhD Student

Computational pathology research at the Institute of Pathology, University of Bern & iCoSys, HES-SO Fribourg: Groups Prof. I. Zlobec & Prof. A. Fischer

Project: Transomic approach to colorectal cancer- an integrative computational and clinical perspective

Colorectal cancer is a leading cause of cancer-related death in Switzerland. Despite decades of research, little has advanced in the clinical management of this disease. In this project, we take a different approach to learn, discover and identify new prognostic and predictive features. We will apply machine-learning algorithms and graph representations to histopathological images of colorectal cancer from patients in large cohorts. We will investigate molecular subtypes and apply what we learn about the tumor microenvironment to different clinical scenarios. We will use these methods to study tumor heterogeneity and understand why modifications of the tumor microenvironment might lead to therapy failures. Standard histopathology can also be combined with more complex and high-dimensional protein analysis in tissue sections, leading to a wider understanding of the interactions between cell types in tumors.

Who are we? We are a dynamic and clinically-driven team of translational, clinical and computational scientists bridging applied and experimental research. As part of the Institute of Pathology, our research group has access to large amounts of histopathological images and annotated clinical data. We work closely with our pathologists and digital pathology team to ensure the clinical relevance of the questions we address and their potential translation to clinical practice. We partner with the Translational Research Unit and Tissue Bank Bern for laboratory needs and data access. Partnering up with the iCoSys institute at the HES-SO Fribourg for this project provides us access to the latest deep learning research for performing the computational analysis of the histopathological images.

We are looking for a talented and highly motivated PhD student

who can work independently and is a problem solver

with a real interest in medicine, pathology and clinical science and

who wants to excel in computational analysis of histopathology images

Requirements
Applicants must hold a university degree in natural sciences (MSc or equivalent) and have to fulfill the requirements to be accepted as a PhD student by the Graduate School for Cellular and Biomedical Sciences of the University of Bern (). Previous experience in image processing, machine learning, computational biology, and programming in Python, Matlab, R, TensorFlow are advantageous. Candidates must be fluent in English. Duration of appointment: 3-4 years
Start: Entrance upon April 2021 or on agreement
Salary: according to the Swiss National Science Foundation

What we can additionally offer: you will be embedded in an internationally competitive translational and inter-disciplinary team and interact with our partners and collaborators on the project including IBM Research, ZHAW, ETH Zurich, HES-SO Valais, HES-SO Fribourg and the Institute of Pathology, Zurich Application Please send your application before February 15th, 2021 including a short letter of interest, curriculum vitae with description of your professional experience, a list of publications, a list of 2 references, and copies of the certificates of academic qualifications as a single pdf-file by email to:
Prof. I. Zlobec
Prof. A. Fischer

Extra Informationen

Status

Inaktiv

Ausbildungsniveau

Andere

Standort

Bern

Arbeitsstunden pro Woche

4 - 40

Jobart

Teilzeitjob

Tätigkeitsbereich

Verkauf / Retail

Führerschein erforderlich?

Nein

Auto erforderlich?

Nein

Motivationsschreiben erforderlich?

Nein

Sprachkenntnisse

Deutsch