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Contract:TV-L Your tasks The available research projects aim to understand and develop strategies to treat heart disease You will combine epigenetic, chromatin interaction analysis and single-cell approaches
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phenotyping, including image analysis evaluations, for trait quantification Handle NGS datasets for RNAseq or SNP detection and linkage analysis using R Your qualifications and skills: You have a PhD or
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Institute for Meteorology. YOUR PROFILE We are looking for a curiosity-driven and conceptually-minded candidate who enjoys scientific discussion and complex data analysis. To be considered for this position
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Institute for Meteorology. YOUR PROFILE We are looking for a curiosity-driven and conceptually-minded candidate who enjoys scientific discussion and complex data analysis. To be considered for this position
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medical machine learning for a talented postdoctoral researcher (f/m/d) to deepen their expertise and interest in machine learning for medical image analysis and build their early scientific career. About
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The Network Analysis and Modelling group investigates how genetic variation shapes gene regulation, protein function, and, ultimately, observable plant traits. Using machine learning and network
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, scientists from more than 40 countries across 12 locations in Germany conduct research in the fields of biodiversity, Earth system analysis and climate change. Following its mission to “analyze and document
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relevant to the Institute's research; experience with quantitative research methods and statistical analysis, ability to work independently and in interdisciplinary teams, with excellent organizational and
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experience in data acquisition and analysis of advance microscopy imaging techniques (e.g. confocal microscopy, TIRF, FRET, STORM, DNA-PAINT) is desired. WE OFFER: Career development in a multidisciplinary and
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developing computer-vision systems for faunistic data analysis Present project goals and achievements in national and international scientific conferences Supervise technicians and students in training data