Doctoral candidate
vor 2 Wochen
Better together. For life.
We are the University Hospital Hamburg-Eppendorf (UKE) – and stand for excellent expertise in research, teaching and comprehensive health care in our clinics. Our approximately 14,900 employees strive every day to make the world a little healthier with their contribution.
Our aim is to be one of the leading university hospitals – and at the same time the best employer in our industry. At UKE, we firmly believe that successful and fulfilling work should be in harmony with the personal needs and individual life plans of employees. And as different as these are, our range of individual solutions is just as diverse.
Welcome to UKE.
Doctoral candidate (all genders) in AI for biomedical data analysisType of enployment:
Temporary
Working hours:
Part time
Apply by:
April 22, 2024
Company part:
UKE_Center for Molecular Neurobiology (ZMNH)
Field of activity:
Research & Science
Area:
Institute for Medical Systems Biology
That's what makes the position
Become a part of the Institute for Medical Systems Biology and the bAIome Center for Biomedical AI ( ) to complement our vibrant and enthusiastic team of machine learning experts.
The main tasks include the development of novel machine and deep learning algorithms to understand, predict and treat diseases. Using multimodal genomic, image and patient data combined with graph, transformer and diffusion models, you will help us understand and treat immune-related diseases. Together with clinical experts, you will translate your findings into targeted applications.
This position is limited to three years as part of a third-party funded project and is to be filled with 65% (negotiable, possibly more) of the regular weekly working hours.We're looking forward to that
- Completed academic university degree in computer science, bioinformatics or equivalent skills and experience
- Good understanding of machine and deep learning and relevant libraries (e.g. Pytorch or Tensorflow, Keras, scikit-learn, OpenCV)
- Proficiency in Python, Linux and HPC environments
- Good communication skills to interact with collaborators in an interdisciplinary environment, from machine learning researchers to pathologists or medical students
- Knowledge of biology and medicine is an advantage
- High motivation and interest in working in an interdisciplinary team that includes machine learning, bioinformatics and medicine
- Fluent English skills
Immunity status
Hiring is only possible if there is complete proof of immunization or immunity in accordance with the applicable (legal and medical) requirements against the measles virus. This must be proven before the start of employment by providing appropriate documents (e.g. vaccination certificate).
That's what we offer
- Regulated payment according to TVöD/VKA ; Attractive company pension scheme and various employee discounts
- 30 days vacation; Possibility of special leave and sabbatical
- Central location: Our clinic is centrally located on the beautiful Eppendorfer Park
- Traveling sustainably: subsidies for the Deutschlandticket as a job ticket and Dr. Bike bicycle service; Company bike leasing option
- Crisis-proof workplace, meaningful work, appreciative cooperation and open exchange of knowledge within the team; structured training
- Opportunity to actively shape and develop the world of work as part of our employee program
- Extensive training programs ( UKE Academy for Education and Career )
- Family-friendly working environment: cooperation on child care, free holiday care, advice for employees with relatives in need of care
- Excellent health, prevention and sports offers
- Healthy and varied lunch break: In addition to our canteen, there is a wide selection of culinary offerings just a few steps away, such as the "Health Kitchen" cafés and bistros, as well as other snack bars, bakeries, a supermarket, etc.
Contact the UKE
Contact the department
Prof. Dr. Stefan Bonn
Contact for recruiting
Recruiting team
About Us
We live diversity and value diversity
We offer a working environment that provides equal opportunities regardless of age, gender, sexual identity, disability, origin or religion. We confirm this by joining the Diversity Charter. We expressly aim to increase the proportion of women in leadership positions, particularly among academic staff in research and teaching. The same applies in the event of underrepresentation of a gender in the advertising area. People with severe disabilities will be given priority if they have the same suitability, ability and professional performance.
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