Candidates interested in using mathematical modeling to analyze big data to advance personalized medicine are encouraged to apply. In this project you will contribute to the development of simulation tools, optimization and machine learning to translate omics data to medical relevant questions. You will work in collaboration with international experts in different areas to build multi-scale models with an unprecedented scope.
You are expected to hold a degree in statistics, mathematics, physics, engineering or computer science, or a degree in biological science with substantial experience in computational and statistical work.
The ideal applicant should have demonstrated the ability to work independently and creatively. (S)he should have excellent communications skills and be able to articulate clearly the scientific and technical needs, set clear goals and work within an interdisciplinary setting, communicating with other partners.
In addition to the ability to work independently and the willingness to quickly familiarize yourself with new and challenging topics, we attach great importance to teamwork.
Target-oriented individual further education and training opportunities
Targeted training on the job
Ticket for public transport
Possibility of child care (crèche and kindergarten) as well as subsidy for holiday care for school children
Active health promotion
Company pension scheme
Access to the university library and other university facilities (e.g. university sports)
Candidates should email their CV (including names of three references) and a letter of interest to email@example.com. The letter of interest has to be tailored to our group, mentioning projects or articles of our group that you find interesting, and explaining how you would fit here and in the topic mentioned above. Please also provide a pointer to a code repository if possible.
There is no strict deadline, but priority will be given to applications by september 1st. Starting date is aimed for October 2020, or soon thereafter.
Institute for Computational Biomedicine
Prof. Dr. Julio Saez-Rodriguez
Wir stehen für Chancengleichheit. Schwerbehinderte werden bei gleicher Eignung vorrangig eingestellt. Das Universitätsklinikum strebt eine generelle Erhöhung des Frauenanteils in allen Bereichen und Positionen an, in denen Frauen unterrepräsentiert sind. Qualifizierte Frauen sind daher besonders aufgefordert, sich zu bewerben. Vollzeitstellen sind grundsätzlich teilbar, soweit dienstliche oder rechtliche Gründe nicht entgegenstehen.