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. RESPONSIBILITIES: Implementing laboratory and computational workflows for large-scale biological studies Collecting experimental and high-throughput data Characterisation of molecular and cellular mechanisms
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algorithms for microscopy image analysis problems (primarily 2D timelapse data), which are driven by real applications in life science research Developing solutions to integrate large foundation models
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Experience in programming (e.g. FORTRAN) Experience in the analysis of large data sets and/or the development of diagnostics Ability to work in a team, open-mindedness, and scientific creativity At a workplace
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development of early warning systems, risk assessment of pathogens; optimization of the calculation of disease burdens, visualization of complex correlations, Big Data analyses, automated analysis of high
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RESPONSIBILITIES: Implementing laboratory and computational workflows for large-scale biological studies Collecting experimental and high-throughput data Characterisation of molecular and cellular mechanisms
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Pathogens, a WHO Collaborating Centre, and a member of the Leibniz Research Association. The Computational Infection BiologyDepartment, led by Thomas Otto, is seeking a highly motivated PhD Student (in data
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support and services for the analysis of large-scale omics data. RESPONSIBILITIES: Develop, implement, and maintain bioinformatics pipelines for various omics data, including RNASeq and scSeq besides others
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exchange, re-use of data, and data publication in clinical research according to the FAIR principles. RSPONSIBILITIES: Conduct research in an exciting, interdisciplinary large-scale project Analyze
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methods for the analysis of large-scale genomic, clinical, and phenotypic data, including phenome-wide association studies (PheWAS), statistical genetics, and precision medicine applications. This includes
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, (bio)informatics, and multimodal data analysis. The research group led by Dr. Johanna Raidt focuses on the identification of known and novel MMAF- and PCD gene variants using large patient cohorts