Four postdoc positions in Biostatistics at the University of Oslo, Norway

3 days ago


Oslo, Oslo County, Norway The International Society for Bayesian Analysis Full time
Four postdoc positions in Biostatistics at the University of Oslo, Norway

Mar 5, 2020

Four postdoc positions in Biostatistics are offered at the University of Oslo (UiO), Norway. The positions are each three years appointments for fellows incoming from abroad.

SCIENTIA FELLOWS is a transnational research fellowship programme in the field of Health Life Sciences at UiO, funded by the EU Horizon 2020 under the Maria Skłodowska-Curie scheme.

The purpose of the three years postdoc is to produce scientific results of the highest quality, in collaboration with your host at UiO and its other partners. You will also be part of UiO's career development programme designed for researchers at the beginning of their career, including our Health Innovator course which aims to provide researchers with tools and insight into how innovation can be put to work for the benefit of patients, the healthcare system and society. At completion of your three year term, your academic profile will be such that you can successfully apply to the best research positions worldwide.
All four positions will be at the Oslo Center for Biostatistics and Epidemiology (OCBE), UiO, and in collaboration with the Oslo University Hospital.

Eligibility:
· You possess a PhD degree (at the latest by 1 July 2020) in statistics, biostatistics, mathematics, computer science or other related disciplines with a documented competence in statistics, biostatistics or mathematics.
· You have not been resident in Norway for more than 12 months in the last 3 years.
You apply for each position separately, for just one or more. Mention clearly which position you are applying for.

If you are interested in any of these positions, please contact the corresponding UiO PI by sending her/him an email with your CV and links to your papers as early as possible and by March 20th, 2020. You and your UiO host PI will identify common research interests and discuss the concept of your research proposal. While you are responsible for the research proposal, you will discuss your application via Skype and email, and your host will help you to write a good proposal. Finally, in order to apply for the position, you have to submit the research proposal (and other documents as specified in the call) by April 30th, 2020.

A Fellow of the Scientia Fellows programme will be employed at UiO for three years. The place of work is the UiO campus in Oslo. The gross salary of a Fellow will amount to 515 200 NOK/year. UiO will cover full health insurance and pay towards your pension with the Norwegian pension fund. As employee in Norway you have several welfare benefits. In addition UiO will support research costs (laptop, travel, courses etc) with 54 600 NOK per year.

Research Positions:

  1. Statistical learning for personalised cancer therapy
    UiO PI Host: Manuela Zucknick
    Summary: We develop new multivariate (multi-task) methods to improve prediction of drug sensitivity or synergistic effects in drug combinations in large-scale pharmacogenomic screens based on molecular characterization of cancer cell lines and patient samples as well as properties of the drugs.
  2. Scalable inference for genomic data integration
    UiO PI Hosts: Valeria Vitelli and David Swanson
    Summary: The project focuses on scalable statistical methods for the integration and analysis of multi-omic data sources.
  3. Biostatistics and/or computational biology in precision medicine and systems pharmacology
    UiO PI Hosts: Arnoldo Frigessi and Kjetil Tasken
    Summary: This project will develop new statistical and machine learning methodologies, algorithms and computational approaches, to predict the efficacy of drugs and drug combinations.
  4. Biostatistics and/or bioinformatics in precision medicine for head and neck cancer
    Hosts: Arnoldo Frigessi and Eivind Hovig
    Summary: This project aims to identify early signals for head and neck cancer, biomarkers for efficacy of treatment, prediction of prognosis of the cancer, at individual level.
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