- [Netherlands] PhD student in Epidemiology and Biostatistics at UMC Utretch
- [Belgium] Researcher doctoral student in biostatistics at University of Hasselt
- [Belgium] PhD in Statistics at Katholieke Universiteit Leuven
PhD student in Epidemiology and Biostatistics at UMC Utretch
We are looking for someone who has (nearly) finished a master of science program (MSc) in which statistics, mathematics, or computer science play a prominent role. Experience with programming and data analysis techniques is an advantage, as well as experience with statistical software such as R, S-Plus, Mathematica or WinBUGS. Good communication skills are required, as well as in interest in methodological research within the field of clinical epidemiology and health economics.
Researcher doctoral student in biostatistics at University of Hasselt
Hasselt University, in collaboration with the International Drug Development Institute (IDDI, Belgium), announces the following position (m/f):
Researcher doctoral student in biostatistics (2x2 year)
The candidate will conduct research within the framework of a project aimed at discovery and validation of biomarkers for Alzheimer`s disease. The project includes both metodological (development of novel approaches to validation of biomarkers by using historical data) and applied (application of the developed methodology to existing experimental and clinical data) aspects. The candidate will closely collaborate with researchers at CenStat and IDDI.
PhD in Statistics at Katholieke Universiteit Leuven
Vacancy for RESEARCH ASSISTANTS IN STATISTICS
We are looking for full-time research assistants for the period Oct. 1, 2011 – Sept. 30, 2015 to conduct research in statistics, which should lead to a Ph.D. degree.
The research will be conducted under a GOA research grant under guidance of Profs. Gerda Claeskens, Christophe Croux, Irène Gijbels, and Mia Hubert. A variety of research topics is possible; some key words are: econometrics, robust statistics, semi- and nonparametric statistics, smoothing and flexible modeling, variable and model selection, classification and clustering techniques,… You will find a dynamic and pleasant working environment, in a group which conducts research at the highest international level.
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