Area of research:PHD Theses
Job description:
Job Description: Project description: In close collaboration with the diabetes institutes at Helmholtz Zentrum München, we attempt to develop machine learning models for the prediction of type 1 and type 2 diabetes risk from genetics data, omics profiling data and clinical information. - Development, training and evaluation of classifiers to predict progression towards type 1 diabetes from a medium-sized set of SNPs (around 40) - Incorporation of additional clinical data (for example C-section, gender, family history) and quantitative data (including gene expression measurements and metabolite concentrations). - Development of probabilistic machine learning algorithms specifically tailored towards the given data types. In particular, methods combining discrete and continuous data as well as models incorporating variable interactions will be required. - Transfer of developed methods to predict type 2 diabetes based on data from a separate cohort.
Your Qualifications: - Masters/Diploma in bioinformatics, mathematics, physics or a related discipline - Background in machine learning, statistical analyses and programming - Profound affinity to the biological interpretation of achieved results - Comfortable at interacting with colleagues in an interdisciplinary setting
Our Offer: - Working in an innovative, well- equipped and scientifically stimulating surrounding - Further training opportunities - Initial short-term employment contract for three years with a standard public service salary (TVöD EG 13 50 %) The Helmholtz Zentrum München as holder of the Bavarian Advancement of Women Prize and of the Total E-Quality Certificate is striving to increase the overall proportion of women on its staff and thus expressly urges qualified women to apply. To apply, please email a cover letter, CV (in English), Master’s thesis or related publications, recommendation letters or contact information of professional references to:
Your Qualifications: - Masters/Diploma in bioinformatics, mathematics, physics or a related discipline - Background in machine learning, statistical analyses and programming - Profound affinity to the biological interpretation of achieved results - Comfortable at interacting with colleagues in an interdisciplinary setting
Our Offer: - Working in an innovative, well- equipped and scientifically stimulating surrounding - Further training opportunities - Initial short-term employment contract for three years with a standard public service salary (TVöD EG 13 50 %) The Helmholtz Zentrum München as holder of the Bavarian Advancement of Women Prize and of the Total E-Quality Certificate is striving to increase the overall proportion of women on its staff and thus expressly urges qualified women to apply. To apply, please email a cover letter, CV (in English), Master’s thesis or related publications, recommendation letters or contact information of professional references to:
Contact:We look forward to receiving your application via Mail or e-mail: Fabian Theis, Helmholtz Zentrum München Deutsches Forschungszentrum für Gesundheit und Umwelt (GmbH) Institute of Bioinformatics and Systembiology Ingolstädter Landstraße 1 85764 Neuherberg Germany phone 089 3187-3581 e-mail: ibis.office@helmholtz-muenchen.de
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