We are currently seeking for a PhD Student in the field of Bioinformatics (m/f/d)
The CKDNapp project (Chronical Kidney Disease Nephrologist’s app) is an interdisciplinary collaboration funded as e:Med junior consortium. The consortium develops a clinical decision support system to optimize the treatment of patients with chronic kidney disease (CKD). The project partners cover the fields of medicine, mathematics and computer science. In a previous large-scale study (German Chronic Kidney Disease, GCKD), metabolic and other biomarkers have been collected together with clinical information like therapy and patient outcome. Based on these and other data, we will develop a knowledge management system together with machine learning models to optimize treatment decisions.
- Implement methods for clinical decisions support
- Integrate metabolic states with patient parameters and disease progress
- Use and develop machine learning approaches
- Develop services to provide the data for the front-end
- Develop an application for use by the medical doctors
- Implement an intuitive and easy-to-use front end for the app
- Use the feedback of the medical doctors to improve the app
- A master degree in bioinformatics, computer science, data science or similar
- Fluent German and English spoken and written
- Some experience in front-end development
- Basic understanding of biological and medical processes
- Capability to communicate with people from other knowledge fields
- Interest in interdisciplinary work
- Enthusiasm to discover new fields
- Work in an interdisciplinary project with young scientists
- Student in the Dept. of Medical Bioinformatics (in Göttingen) with the opportunity for scientific exchange and insight into various bioinformatic fields
- PhD study at the Göttingen Research Campus
- Cooperation with the Helmholtz-Zentrum Munich and the University Medical Centers of Kiel and Freiburg
- Salary according to TVöD-Bund E13, 65% for 3 years
- Note: Recruited via the Helmholtz Institute Munich, delegated to Göttingen at the UMG.
We strive to increase the proportion of women in areas where women are underrepresented and therefore expressly invites qualified women to apply. We are particularly committed to the professional participation of disabled people and therefore welcomes applications from disabled people. In the case of equal suitability, applications disabled persons will be preferentially considered in accordance with the relevant regulations.
We kindly ask you to indicate any disability/equality in your letter of application in order to protect your interests.
If you have any questions, please contact Dr. Jürgen Dönitz 0551 3914927
Please send your application until 31.10.2021 as PDF to:
Institut für Medizinische Bioinformatik,
Dr. Jürgen Dönitz
We would like to point out that submitting your application constitutes your consent under data protection law to the processing of your data as part of the application procedure.
In our department five working groups with different focuses are working in the field of knowledge management, data analysis
generegulation, image processing and medical data science.
We offer places both for students of biological or medical degree programmes, as well as from computer science and chemistry.
In which areas you can successfully work, depends on motivation, previous knowledge and the planned duration of your work.
PhD and Dr.rer. nat.
If you are interested in applying for a position in our Department, please send your application including a letter of motivation, CV, and certificates to Ms. Daniela Großmann.
Medical doctoral thesis
Depending on you background and interest we always try to find a topic within the framework of our research and projects for a medical doctoral thesis. If you are intersted in performing your thesis in our department, please contact our project manager Ms. Daniela Großmann.
Student assistant, practical course, Bachelor and Master theses
Within the scope of our projects, topics for final thesis (Bachelor, Master, PhD) in the Department of Medical Bioinformatics can always occur or if you as student are interested to work in the bioinformatic field (student assistant) please contact Daniela Großmann with some information about your background and motivation.
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