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At the UKE, we are convinced that successful and fulfilling work should be harmonised with the personal needs and individual life plans of all employees. Together we can make this possible. Every day a little more. Every day a little better. What to expect We are the UKE – the University Medical Centre Hamburg-Eppendorf [Universitätsklinikum Hamburg-Eppendorf]. A pulsating centre of health in the heart of Hamburg. When you are surrounded by that much energy and when progress sets the pace, no two days are the same. More than 14,100 employees with very different responsibilities are united by the same goal: ensuring health and well-being. You will be part of a group of highly motivated and interdisciplinary teams of scientists aiming to identify mechanisms and new treatment options for different human kidney diseases. The joint position of the III. Department of Medicine and Institute of Medical Systems Biology will start on 01.08.2022 for 3 years with the possibility for extension. We are looking for a motivated graduate to complement our lively and enthusiastic team of scientists. In the lab of Prof. Tobias B. Huber you will be involved in cutting edge translational research involving multi-omics (scRNA-seq, proteomics, metabolomics, etc.) data analysis and integration of mouse models of kidney disease and human samples. The group of Prof. Stefan Bonn will provide a bioinformatics environment to support and promote your work. The joint work of the groups Huber and Bonn provides the graduate with the unique opportunity to work on important medical questions using modern multi-omics data sets from the Huber lab using state of the art machine learning and AI methods developed in the Bonn lab. What we look forward to ● MSc Degree in an applied technical field (Electrical engineering, Applied physics, Bioinformatics, Biomedical Engineering, Computer Science, or similar) ● Interests in the development and application of machine learning and computational methods and transcriptomics data analysis (RNA-Seq, single cell analyses) ● Experience in artificial intelligence and machine learning algorithms (neural networks, RandomForest, SVM, etc.) ● Proficiency in R or Python and Linux environments ● Highly motivated with an interest to work in an interdisciplinary team spanning machine learning, biology and medicine. ● Proficient in written and spoken English What we can offer ● Regular pay according to TVöD/VKA; attractive company pension plan and various employee discounts ● 30 days of vacation; possibility of special leave <li> Structured doctoral training in the integrated graduate college of the SFB1328 as well as in the Hamburg School for Immunity and Infection (HSII) </li> <li> Central location: Our clinic is centrally located at the beautiful Eppendorfer Park </li> <li> Sustainable travel: subsidies for the HVV-ProfiTicket and Dr. Bike bicycle service; option to lease a service bike </li> <li> Crisis-proof workplace, meaningful activity, appreciative interaction and open exchange of knowledge within the team; structured induction training </li> <li> Opportunity to actively shape and develop the working environment within the framework of our employee program (UKE INside). </li> <li> Family-friendly working environment: cooperation on childcare, free vacation care, advice for employees with relatives in need of care </li> <li> Excellent health, prevention and sports offers </li> <li> Healthy and varied lunch break: In addition to our canteen, there is a rich selection of culinary offerings just a few steps away, for example the "Health Kitchen" cafés and bistros, as well as other snack bars, bakers, a supermarket, etc. </li>

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Bioinformatik-Doktorandenstelle für biomedizinische Datenanalyse mit Methoden des maschinellen Lernens und KI

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