The EU project ORCHESTRA provides an innovative approach to learn from the COVID-19 crisis and derive recommendations to be better prepared for future pandemics. The ORCHESTRA project aims to deliver scientific evidence for the prevention and treatment of infections, taking into account not only epidemiological, clinical, microbiological, and genotypic aspects of the population, but also environmental and socio-economic factors. The project builds up on existing and new large scale population cohorts in Europe (France, Germany, Spain, Italy, Belgium, Romania, Netherlands, Portugal, Luxemburg, and Slovakia) and non-European countries (India, Peru, Ecuador, Colombia, Venezuela, Argentina, Brazil, Congo, and Gabon) composed by SARS-CoV-2 infected and non-infected individuals of all ages and conditions. The main contribution of ORCHESTRA will be the creation of a new pan-European cohort applying homogenous protocols for data collection, data sharing, sampling, and follow-up, which can rapidly advance the knowledge on the control and management of COVID-19.
Carrying out the analysis of such a large-scale, multi-center data set requires overcoming several challenges. The most limiting factor is the legal impossibility of sharing and collecting in a single location all the data due to privacy concerns. We will utilize federated learning techniques, which allow the statistical analysis of distributed data without individual-level information ever being directly accessible to the analyst. In contrast to standard meta-analysis techniques, the results of a federated analysis are equivalent (or practically so) to a pooled analysis. Due to its novelty, algorithms and software for federated learning are still few. We will thus need to take known methods from machine learning and statistical analysis, as well as (fine-grained) dynamical models, and adapt them to a federated framework.
The University of Bonn is committed to diversity and equal opportunity. It is certified as a family friendly university. It aims to increase the proportion of women in areas where women are under-represented and to promote their careers in particular. It therefore urges women with relevant qualifications to apply. Applications will be handled in accordance with the Landesgleichstellungsgesetz (State Equality Act). Applications from individuals with a certified serious disability and those of equal status are particularly welcome.
The deadline for the application round is March 15, 2022.
Application documents (cover letter, CV, certificates, contact details of two referees) should be submitted as soon as possible as a single PDF file via email.
Contact: Prof. Dr. Jan Hasenauer, firstname.lastname@example.org
Tagged as: Computer Science, Life Sciences, Mathematics
PhD position (Gene Regulation & Evolution): The effect of environmental sex determination on gene regulation (f/m/d) Thinking of doing your...Apply
» Your future with usWorking at the University Hospital Cologne and the Medical Faculty means helping to shape the future...Apply
PhD position (Gene Regulation & Evolution): Co-option of cilia proteins in gene regulatory processes (f/m/d) Thinking of doing your PhD...Apply
The University of Bonn is an internationally operating research institution, with 200 years of history, around 38,000 students, more than...Apply
PhD position: Effects of environmental dynamics and disturbances on bacterial microbiome composition of macrozoobenthos The position is part of the...Apply
The Helmholtz Einstein International Berlin Research School in Data Science (HEIBRiDS) invites applications for PhD fellowships in a collaborative research...Apply