Modern molecular medicine requires state-of-the-art methodologies in data science, including algorithms and machine learning methods, and the analysis, visualization and modelling of large data sets.
As part of an annual international joint call of the Nordic EMBL Partnership for Molecular Medicine, HIIT and Institute of Molecular Medicine Finland (FIMM) have five openings for doctoral students who show outstanding potential to become independent researchers and who will significantly benefit from the FIMM-EMBL/HIIT International PhD rotational training. Specifically, these positions are in the fields of molecular medicine (FIMM) and bioinformatics and computational biomedicine (FIMM-HIIT) and data science (HIIT).
FIMM and HIIT work together with the University of Helsinki Doctoral School in Health Sciences and doctoral programs (DSHealth) and Helsinki Doctoral Education Network in Information and Communications Technology (HICT) to provide excellent training and courses aimed at a doctoral degree at the University of Helsinki or Aalto University.
Open positions
- Application instructions at FIMM website
- Call deadline: February 8, 2018 at 23:59 Eastern European Time
Participating research groups
Computational Inference Research Programme (COIN):
- Samuel Kaski, Probabilistic Machine Learning Group, HIIT, Aalto University
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Matti Pirinen, Computational Genomics Research group, FIMM&HIIT, University of Helsinki
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Aki Vehtari, Probabilistic Machine Learning Group, HIIT, Aalto University
Foundations of Computational Health Research Programme (FCHEALTH):
- Tero Aittokallio, Computational Systems Medicine, FIMM&HIIT, University of Helsinki
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Aris Gionis, Data Mining group, HIIT, Aalto University
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Ville Mustonen, HIIT, University of Helsinki
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Jari Saramäki, Complex Systems Reseach Group, HIIT, Aalto University
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Juho Rousu, Kernel Methods, Pattern Analysis and Computational Metabolomics, HIIT, Aalto University
Last updated on 8 Jan 2018 by Noora Suominen de Rios - Page created on 10 Dec 2012 by Ella Bingham