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    PhD Student - Münster, Deutschland - Universitätsklinikum Münster

    Universitätsklinikum Münster background
    Beschreibung

    The University Hospital of Münster is one of the leading hospitals in Germany. Such a position cannot be achieved by size and medical successes alone. The individual commitment counts above all. We need your commitment so that even with little things we can achieve great things for our patients. There are many possibilities open for you so that you may develop with them.

    The Clinical Epidemiology Unit at the Institute of Epidemiology and Social Medicine of the University of Münster offers a position, initially limited to 3 years, starting as soon as possible.

    PhD Student (gn*) Infectious Disease Modelling / Network Analysis

    Part-time with 65 %
    Salary according to TV-L E13
    Job Id: 8972 – *gn=gender neutral

    The Clinical Epidemiology Unit uses and develops modern statistical and mathematical methods for cutting-edge research questions, especially in the field of infectious disease epidemiology. A major focus of the unit is the parametrisation of infectious disease transmission models via the collection and extensive analysis of real-world epidemiological data, especially with respect to contact patterns. The unit is looking for a PhD student for the project "Getting more out of contacts – improved forecasting of disease dynamics by better implementation of contact survey data for parametrisation of infectious disease models" which is funded by the Innovative Medical Research program of the University of Münster.

    The position:

    • involves developing a new methodological approach to derive information relevant to disease spread potential from contact surveys, via the use of detailed contact networks parametrised using existing contact survey data
    • will add key evidence to a crucial and up-to-date research topic
    • includes the collaboration with national and international scientists from various scientific backgrounds
    • will lead to high-quality peer-reviewed manuscripts in international journals

    What we expect:

    • Master's degree in mathematics, physics or a related discipline
    • Relevant experience in infectious disease epidemiology and/or in mathematical modelling would be an advantage.
    • Good programming skills in relevant programming languages (e. g. Julia, R, Python, C++)
    • An analytical and structured way of working, team and communication skills, as well as a sense of responsibility and quality awareness
    • Excellent English language skills, German language skills would be an advantage.

    What we offer:

    • Full dedication to the PhD project in a semi-structured or unstructured PhD program
    • Support for further personal training not directly related to the project (e. g. structured development of leadership competencies)
    • An interesting and versatile workplace with challenging and exciting tasks and projects
    • Training and work in a multidisciplinary and committed research team

    If you have any questions about the position, please contact Dr. Veronika Jäger,
    T

    Please submit your candidacy by via our online application form

    Due to legal requirements working with us is only permitted with complete vaccination against measles.

    Applications of women are specifically invited. In the case of similar qualifications, competence, and specific achievements, women will be considered on preferential terms within the framework of the legal possibilities. Handicapped candidates with equivalent qualifications will be given preference.

    The University Hospital of Münster is one of the leading hospitals in Germany. Such a position cannot be achieved by size and medical successes alone. The individual commitment counts above all. We need your commitment so that even with little things we can achieve great things for our patients. There are many possibilities open for you so that you may develop with them.

    Universitätsklinikum Münster
    Albert-Schweitzer-Campus 1, Gebäude D Münster .


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