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internationally leading in systemic phenotypic analysis of genetic and environmental factors. A particular focus is on the development of databases and the application of modern bioinformatics methods to gain new
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 2 months ago
is on the development of databases and the application of modern bioinformatics methods to gain new insights from large data sets. The IEG is part of the Helmholtz Diabetes Center (HDC) and partner
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collaborations. You hold a PhD in epidemiology, medicine, (bio)medical sciences, bioinformatics, immunology or in a related field Knowledge of epidemiological methods, study design, advanced statistics and novel
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Max Planck Institute of Molecular Cell Biology and Genetics, Dresden | Dresden, Sachsen | Germany | 3 months ago
and Genetics (MPI-CBG) and Center for Systems Biology Dresden (CSBD) that studies protein evolution. As a group of scientists with diverse backgrounds in computer science, bioinformatics, statistics
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, state examination) and doctorate in a biomedical subject (e. g. biology, biotechnology, biochemistry) Experience in epigenetics, molecular biology and bioinformatics methods Experience/Knowledge in
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oriented research institution; documentation of scientific achievements through publications; bioinformatic knowledge Very good written and spoken English, proficient in MS Office Strong scientific interest
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innovation on a global scale. Your profile Ph.D. and/or postdoctoral experience with a strong background in machine learning, bioinformatics, computational biology, or a closely related field. Demonstrated
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in bioinformatics and statistical analysis Fluency in English (both written and spoken) Preferred qualifications: Experience with modern microscopy techniques Experience with the capture, husbandry and
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background in a technical field such as computer science, bioinformatics, mathematics, computational life sciences or related. Profound knowledge in machine learning, preferably deep learning for image data. A