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letter which includes 1-2 pages explaining your research experience and future goals. Please note your experience in molecular genetics/biology laboratory work. Curriculum vitae Contact information
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and experience: Essential criteria PhD in bioinformatics, computational biology, or a related discipline * Extensive experience and expertise in analysing/ training models on biological or chemical
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Max Planck Institute for Biology Tübingen, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 27 days ago
The Marsh lab at MPI in Tübingen, Germany, seeks to develop and apply novel genetic tools to deepen our understanding of gut microbial ecology and function. We rely on advanced molecular biology, next
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concepts in both the area of molecular biology and the field of computer vision. Furthermore, the Center for Biosystems and Biotech Data Science, which has a headcount of four professors and ten PhD students
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Qualifications PhD or MD/PhD in Molecular Cell Biology, Biochemistry, Cancer biology or a related discipline A strong experimental background with evidence of experimental skills related to cell biology, molecular
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the last three years is considered an advantage. If there are special reasons, your degree may have been completed earlier. In addition to the above requirements for the position: PhD in molecular biology
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component, and chemo-biology as well as heat treatments and their applications in industries. CBS-GPE projects aim to achieve an in-depth understanding of the molecular mechanisms of these transformations
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field. Preferred Education and Experience Preferred Education and Experience PhD degree in Neuroscience or related field Technical knowledge of molecular biology methods (e.g. Western blotting, PCR
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survivorship, genetics, stem cell pharmacogenomics, epidemiology, biostatistics, and computational biology. The successful applicant will gain extensive training and experience in genetic epidemiology and
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samples, laboratory cell lines and animal models. Ongoing and future projects include (i) genomic and functional characterization of molecular drivers of women’s cancers, (ii) biology and therapy