The University of Luxembourg is a multilingual, international research University.
One Phd Position is available in the Systems Control Group of the University of Luxembourg, in the framework of the NextImmune Doctoral Training. The PhD project will focus on “prediction of causal regulatory interaction networks based on large-scale time-series data”.
Doctoral candidate (PhD student) in the Systems Control Group (m/f)
“Prediction of causal regulatory interaction networks based on large-scale time-series data”
The Systems Control Group at the University of Luxembourg focuses on network inference, which means to address the inverse problem consisting in inferring from time-series data the topology and properties of the underlying network which generated the data. This project is inserted within the framework of the interdisciplinary Doctoral Training Unit NextImmune (https://www.lih.lu/page/nextimmune-dtu). Data will be obtained from another group at LIH, and the role of the PhD candidate is to use that data and established computational tools to identify potential regulatory causality between genes in Th2 cells. This will provide a directed network of cause-effect relationship between measurements (genes).
Applications (to be sent online in the link below) should contain the following documents:
Only complete applications will be considered.
Review of applicants will begin immediately and will continue until the position is filled.
Informal inquires: Prof. Jorge Goncalves, email@example.com
The University of Luxembourg is an equal opportunity employer. All applications will be treated in the strictest confidence.Leer más
|Title||Doctoral candidate (PhD student) in the Systems Control Group (m/f)|
|Employer||University of Luxembourg|
|Job location||6, rue Richard Coudenhove-Kalergi, L-1359 Luxembourg|
|Published||julio 3, 2018|
|Application deadline||Unspecified deadline|
|Job type||Doctorado  |
|Fields||Ingeniería de Sistemas y de Control,   Matemáticas Aplicadas,   Física Teórica,   Computación Científica,   Matemática Computacional,   Aprendizaje de Máquina  |