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Postdoctoral Research Assistant (100%) in Zürich

This research group is looking for you!

Jobbeschreibung

ETH Zurich is one of the world’s leading universities specialising in science and technology. It is renowned for its excellent education, its cutting-edge fundamental research and its efforts to put new knowledge and innovations directly into practice.
The position is offered in the Computational Biology (Claassen) Group in the Institute of Molecular Systems Biology at ETH Zürich, which focuses on concepts from statistics, machine learning and mathematical optimization to describe biological systems from single cell data.The position will involve research in the interdisciplinary consortium comprising researchers at ETH Zurich, University Zurich and the University Hospitals of Zurich. Research in this consortium builds on recent advances in immunotherapy in the treatment of cancer patients.

Cancer immunotherapy has revolutionized the treatment of cancer patients and promises to be the biggest game changer in modern medicine. However, not all patients benefit from these groundbreaking treatments, and given the 3-4 months required to assess response, it is essential to personalize therapeutic options according to the individual patient.

We have assembled a unique and innovative consortium that integrates high-dimensional single-cell measurements of patient blood profiles, as well as the quantitative analysis of radiology images and deep learning approaches. We will use all these data to develop better predictive and prognostic biomarkers and treatment algorithms for cancer immunotherapy, with the goal of ultimately extending the benefit of the latest cancer drugs to as many patients as possible.

The candidate will apply and develop machine and deep learning approaches to identify therapy response associated cell subsets and radiological signatures, and further instruct in-depth validation experiments. Upon validation in independent patient cohorts, this information will then be used to stratify patients prior to immunotherapy to maximize the therapeutic impact and to minimize adverse effects, as well as to provide new personalized therapeutic targets for immune-intervention.
We look forward to receiving your online application including the following documents: letter of motivation, CV, degrees. Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.

Veröffentlicht am

29-02-2024

Extra Informationen

Status
Inaktiv
Standort
Zürich
Tätigkeitsbereich
Baugewerbe, Pädagogik / Nachhilfe
Führerschein erforderlich?
Nein
Auto erforderlich?
Nein
Motivationsschreiben erforderlich?
Nein