31 parallel-computing-numerical-methods positions at Heidelberg University in Germany
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Heidelberg University is a comprehensive university with a strong focus on research and international standards. With around 30,000 students and 8,400 employees, including numerous top researchers
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, molecular biotechnology and computational sciences. The modern Campus harbors the buildings of the science faculties and institutes, in direct vicinity to the University Hospital Heidelberg, the Max Planck
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population health issues. Methods used in the group’s work include quasi-experimental techniques, descriptive epidemiology, and randomized trials. The fellow will be expected to publish in high-impact peer
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of principles and methods from biology, biomedicine, physics, chemistry, mathematics, and/or engineering to understand, modify, and optimize living systems or biological processes. The candidate should
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to supervise PhD, Master and Dr. med (thesis as part of medical studies in Germany) students. The fellow will also have the opportunity to teach as part of the institute’s Masters and doctoral program but will
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cell biological methods Sound knowledge in the construction of genetic vectors and cloning strategies Experience with aseptic technology and S1 security level Strong organizational skills as
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of Heidelberg University Hospital, which is a leading center for research in Neuro-oncology and provides numerous training opportunities with access to cutting-edge techniques. The location in Heidelberg offers
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adults, characterised by severe genomic instability and a lack of targeted therapies. Using cutting-edge methods and unique primary patient-derived cell models, this project will seek to understand
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Responsible planning and implementation of experiments within the framework of the scientific project plan Develop and establish new methods in the laboratory to enable new research approaches Isolation
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of experiments within the framework of the scientific project plan Develop and establish new methods in the laboratory to enable new research approaches Isolation of primary cardiomyocytes and analysis