34 parallel-computing-numerical-methods positions at Heidelberg University in Germany
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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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plasticity, therapy response, and drug resistance in myeloid leukemia. The successful candidate will carry out proteomic experiments with access to state-of-the-art mass spectrometry and computational
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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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degree in (analytical) chemistry, biochemistry, or a related discipline Hands-on experience in mass spectrometry-based proteomics (e.g. DDA, DIA, PRM) Experience with proteomic data analysis Computer
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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
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addition to this core project, the research group works on a wide variety of research, with foci being medication effectiveness, health services research, and population health issues. Methods used in the group’s work
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Elektronenstrahl-Mikrosonde (EPMA) Eigenständige Kommunikation mit universitären und externen Dienststellen (z. B. Bauamt, Universitätsrechenzentrum) im Zusammenhang mit den Laboren IT-Support für die Computer der
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of in vitro and in vivo pre-clinical models, including hiPSC-derived systems The postdoctoral project will combine experimental (wet-lab) and computational (dry lab) approaches Be part of Geman Center